Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535714
Jin Mengqun, Ge Huiliang, Z. Zili
A 3-dimentional fiber-optic vector hydrophone, with many advantages including high sensitivity, large dynamic range, intrinsic immunity to electromagnetic interference and light weight, is becoming a hotspot of new-style vector sensors. For array applications, this review has discussed the finite element methods and experimental results of the hydrophone. A fiber-optic flexural disk vector hydrophone has been developed and related metrology aspects of measurement have been demonstrated. To figure out the issue of fiber-optic vector hydrophone, we optimize the hydrophone with an optical scheme, mechanism construction and sensing properties. In the optical scheme aspect, we replace the traditional optical devices with low reflectivity a fiber Bragg grating to simplify the optical scheme and minimize the sensor size. In the sensing properties aspect, we optimize the sensing parameter of the fiber-optic acceleration component with finite element analysis. The influence factor of the acoustic performance is discussed. In the mechanism construction aspect, a 3-dimetional isolated acceleration sensing structure is presented with a fiber-optic pressure component outside. A column type fiber optic vector hydrophone sample is then introduced. The size of the hydrophone is φ60mm×125mm. The acceleration sensitivity of the acceleration component is 22.5dB ref.1rad/g; and, with fluctuation of ±1.5dB ref.1rad/g at the range from 100Hz to 1000Hz. The equivalent pressure phase sensitivity in water of each axis is -183.5dB ref. 1rad/uPa@100Hz ~ -159dB ref. 1rad/uPa@1000Hz; and, with fluctuation of ±1.5dB at the range from 100 to 1000Hz. The cross talk of each axis is below -20dB. The pressure sensitivity of the pressure component is -131.8 ref. 1rad/uPa; and, with fluctuation of ±1dB. We also test the directionality of the 3 acceleration component and pressure component. It has a good directionality performance and the maximum value non uniformity of the acceleration component is below 1dB.
{"title":"The optimal design of a 3D column type fiber-optic vector hydrophone","authors":"Jin Mengqun, Ge Huiliang, Z. Zili","doi":"10.1109/COA.2016.7535714","DOIUrl":"https://doi.org/10.1109/COA.2016.7535714","url":null,"abstract":"A 3-dimentional fiber-optic vector hydrophone, with many advantages including high sensitivity, large dynamic range, intrinsic immunity to electromagnetic interference and light weight, is becoming a hotspot of new-style vector sensors. For array applications, this review has discussed the finite element methods and experimental results of the hydrophone. A fiber-optic flexural disk vector hydrophone has been developed and related metrology aspects of measurement have been demonstrated. To figure out the issue of fiber-optic vector hydrophone, we optimize the hydrophone with an optical scheme, mechanism construction and sensing properties. In the optical scheme aspect, we replace the traditional optical devices with low reflectivity a fiber Bragg grating to simplify the optical scheme and minimize the sensor size. In the sensing properties aspect, we optimize the sensing parameter of the fiber-optic acceleration component with finite element analysis. The influence factor of the acoustic performance is discussed. In the mechanism construction aspect, a 3-dimetional isolated acceleration sensing structure is presented with a fiber-optic pressure component outside. A column type fiber optic vector hydrophone sample is then introduced. The size of the hydrophone is φ60mm×125mm. The acceleration sensitivity of the acceleration component is 22.5dB ref.1rad/g; and, with fluctuation of ±1.5dB ref.1rad/g at the range from 100Hz to 1000Hz. The equivalent pressure phase sensitivity in water of each axis is -183.5dB ref. 1rad/uPa@100Hz ~ -159dB ref. 1rad/uPa@1000Hz; and, with fluctuation of ±1.5dB at the range from 100 to 1000Hz. The cross talk of each axis is below -20dB. The pressure sensitivity of the pressure component is -131.8 ref. 1rad/uPa; and, with fluctuation of ±1dB. We also test the directionality of the 3 acceleration component and pressure component. It has a good directionality performance and the maximum value non uniformity of the acceleration component is below 1dB.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132962640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535742
Zhang Youwen, Xiao Shuang, Liu Lu, Sun Da-jun
In this paper, a novel variable multiple step-size least mean square (VMSSLMS) adaptive filter algorithm with the l0-norm constraint is proposed, which both allows the step-size to vary for different taps and includes a sparsity constraint in the cost function. When channel changes suddenly, the filter can track the specific tap-weight fast to adapt to the variation of the channel. The l0-norm constraint can take advantage of the sparse property, thus it can improve the performance of the sparse channel estimation. Simulations show that compared with the existing algorithms, the proposed algorithm performs better in the sparse channels with a faster convergence rate and a lower misadjustment. System identification tests with the proposed algorithm for the channel obtained from South ocean also show superior performance.
{"title":"A variable multiple step-size LMS algorithm with l0-norm","authors":"Zhang Youwen, Xiao Shuang, Liu Lu, Sun Da-jun","doi":"10.1109/COA.2016.7535742","DOIUrl":"https://doi.org/10.1109/COA.2016.7535742","url":null,"abstract":"In this paper, a novel variable multiple step-size least mean square (VMSSLMS) adaptive filter algorithm with the l0-norm constraint is proposed, which both allows the step-size to vary for different taps and includes a sparsity constraint in the cost function. When channel changes suddenly, the filter can track the specific tap-weight fast to adapt to the variation of the channel. The l0-norm constraint can take advantage of the sparse property, thus it can improve the performance of the sparse channel estimation. Simulations show that compared with the existing algorithms, the proposed algorithm performs better in the sparse channels with a faster convergence rate and a lower misadjustment. System identification tests with the proposed algorithm for the channel obtained from South ocean also show superior performance.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125310008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535681
Yu Yun, Z. Hongwei, Yu Jie
A Double-horizontal-array (DHA) passive ranging algorithm is proposed. Based on the waveguide invariant theory, the interference fringes can be extracted by applying the Radon transform to the interference structure obtained by spectral analysis of the tracking beamform output of each array. The passive ranging accuracy can be improved by adopting the interference striations in the two interference structures whose slopes are identical combined with the traditional passive ranging algorithm. Simulation and analysis of positioning accuracy indicate that the improved passive ranging algorithms are simple and can greatly improve the ranging accuracy. The improved passive ranging algorithms can estimate the target range without detailed prior knowledge of the marine environment, which provides guidelines for towed line arrays when used for passive ranging.
{"title":"Improved passive ranging algorithm based on the waveguide invariant theory","authors":"Yu Yun, Z. Hongwei, Yu Jie","doi":"10.1109/COA.2016.7535681","DOIUrl":"https://doi.org/10.1109/COA.2016.7535681","url":null,"abstract":"A Double-horizontal-array (DHA) passive ranging algorithm is proposed. Based on the waveguide invariant theory, the interference fringes can be extracted by applying the Radon transform to the interference structure obtained by spectral analysis of the tracking beamform output of each array. The passive ranging accuracy can be improved by adopting the interference striations in the two interference structures whose slopes are identical combined with the traditional passive ranging algorithm. Simulation and analysis of positioning accuracy indicate that the improved passive ranging algorithms are simple and can greatly improve the ranging accuracy. The improved passive ranging algorithms can estimate the target range without detailed prior knowledge of the marine environment, which provides guidelines for towed line arrays when used for passive ranging.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122494286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535673
Wen Tao, Xu Feng, Yang Juan, An Xu-dong, Wem Tao, Wang Mengbin
An identification method based on multi-aspect target scattering characteristics when the transmitting and receiving transducer are separated is proposed in this essay. Target strengths of each target at different bistatic angles are calculated, and form a combined vector. Then the first-order and second-order moment features are abstracted. Pool experiment of three targets has been conducted, and the features proposed by this easy are abstracted. The support vector machine classifier is employed to identify the target. The identification rate is up to 100% in the anechoic tank environment.
{"title":"An identification method based on multi-aspect target scattering characteristics","authors":"Wen Tao, Xu Feng, Yang Juan, An Xu-dong, Wem Tao, Wang Mengbin","doi":"10.1109/COA.2016.7535673","DOIUrl":"https://doi.org/10.1109/COA.2016.7535673","url":null,"abstract":"An identification method based on multi-aspect target scattering characteristics when the transmitting and receiving transducer are separated is proposed in this essay. Target strengths of each target at different bistatic angles are calculated, and form a combined vector. Then the first-order and second-order moment features are abstracted. Pool experiment of three targets has been conducted, and the features proposed by this easy are abstracted. The support vector machine classifier is employed to identify the target. The identification rate is up to 100% in the anechoic tank environment.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122609765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535659
Yue Sun, Jintao Wang, Longzhuang He
Multiple-input multiple-output (MIMO) is considered to be the key technology to improve the spectral efficiency for underwater acoustic communication (UAC) systems. As a novel architecture of MIMO system, space shift keying (SSK) is proposed to improve the energy efficiency comparing with traditional MIMO architecture. In this paper, the Lagrange multiplier method (LMM) is applied to solve the power allocation problem in SSK system, and a genetic based heuristic method is proposed to provide superior performance of symbol error rate (SER). Comparing with other prescaling techniques of SSK, such as multi-antenna space modulation (MSMod) and modified SSK (MSSK), the genetic based heuristic method can keep the benefits of SSK, while having a lower computational complexity at the receiver. The Monte Carlo simulation results are shown to verify the SER performance of this proposed method.
{"title":"Power allocation for space shift keying in underwater acoustic communication","authors":"Yue Sun, Jintao Wang, Longzhuang He","doi":"10.1109/COA.2016.7535659","DOIUrl":"https://doi.org/10.1109/COA.2016.7535659","url":null,"abstract":"Multiple-input multiple-output (MIMO) is considered to be the key technology to improve the spectral efficiency for underwater acoustic communication (UAC) systems. As a novel architecture of MIMO system, space shift keying (SSK) is proposed to improve the energy efficiency comparing with traditional MIMO architecture. In this paper, the Lagrange multiplier method (LMM) is applied to solve the power allocation problem in SSK system, and a genetic based heuristic method is proposed to provide superior performance of symbol error rate (SER). Comparing with other prescaling techniques of SSK, such as multi-antenna space modulation (MSMod) and modified SSK (MSSK), the genetic based heuristic method can keep the benefits of SSK, while having a lower computational complexity at the receiver. The Monte Carlo simulation results are shown to verify the SER performance of this proposed method.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131726077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535736
W. Wenbo, Li Sichun, Y. Jianshe, Liu Zhao, Zhou Weicun
In recent years, scientists have been paying more and more attention on extracting features from the radiated noise of underwater targets. Thus, enriching the feature reserve of underwater targets is quite significant for scientists in order to detect and study them. The paper presents an algorithm of feature extraction, which focuses on the MFCC feature coefficients of underwater targets. Mel Frequency Cepstral Coefficients (MFCCs) are based on the nonlinear frequency feature of human ears. In essence, MFCC works via selecting energy in different frequency bands as the feature of target. Because of its outstanding performance in expressing speech spectrum at low frequency, since it is a good simulation of human auditory sensation, it has been one of the most important features used in speaker recognition systems. However, whether it is applicable in the case of expressing the features of underwater targets was still unclear. According to the result of a series of correlative experiments and researches, scientists found that the principle of distinguishing different underwater radiated noises by sonarman is the same as voice recognition by human ears. Meanwhile, the method of extracting MFCC has some advantages. For example, noises at low frequencies (in the audible range), which are the main sources of radiated noises ships and submarines, can propagate for a long distance. Fortunately, the method of extracting MFCC is robust to resist the disturbance of background noise at that frequency band. At the same time, seas and oceans always have chaotic background noise. The acoustic processes underwater are usually very complicated and nonlinear, and therefore requiring a proper nonlinear principle. Thus, MFCC can be applied to feature extraction of underwater radiated noises. In this paper, the radiated noises of different marine lifes (whales, sea lions and dolphins ), divers, boats and ships are all researched. Their MFCC feature coefficients are extracted and compared. The results show that different targets have clear differences in MFCC feature coefficients. Therefore, MFCC can be an effective feature for extraction and recognition.
{"title":"Feature extraction of underwater target in auditory sensation area based on MFCC","authors":"W. Wenbo, Li Sichun, Y. Jianshe, Liu Zhao, Zhou Weicun","doi":"10.1109/COA.2016.7535736","DOIUrl":"https://doi.org/10.1109/COA.2016.7535736","url":null,"abstract":"In recent years, scientists have been paying more and more attention on extracting features from the radiated noise of underwater targets. Thus, enriching the feature reserve of underwater targets is quite significant for scientists in order to detect and study them. The paper presents an algorithm of feature extraction, which focuses on the MFCC feature coefficients of underwater targets. Mel Frequency Cepstral Coefficients (MFCCs) are based on the nonlinear frequency feature of human ears. In essence, MFCC works via selecting energy in different frequency bands as the feature of target. Because of its outstanding performance in expressing speech spectrum at low frequency, since it is a good simulation of human auditory sensation, it has been one of the most important features used in speaker recognition systems. However, whether it is applicable in the case of expressing the features of underwater targets was still unclear. According to the result of a series of correlative experiments and researches, scientists found that the principle of distinguishing different underwater radiated noises by sonarman is the same as voice recognition by human ears. Meanwhile, the method of extracting MFCC has some advantages. For example, noises at low frequencies (in the audible range), which are the main sources of radiated noises ships and submarines, can propagate for a long distance. Fortunately, the method of extracting MFCC is robust to resist the disturbance of background noise at that frequency band. At the same time, seas and oceans always have chaotic background noise. The acoustic processes underwater are usually very complicated and nonlinear, and therefore requiring a proper nonlinear principle. Thus, MFCC can be applied to feature extraction of underwater radiated noises. In this paper, the radiated noises of different marine lifes (whales, sea lions and dolphins ), divers, boats and ships are all researched. Their MFCC feature coefficients are extracted and compared. The results show that different targets have clear differences in MFCC feature coefficients. Therefore, MFCC can be an effective feature for extraction and recognition.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131495980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535697
Qing Xin, Nie Donghu, Qiao Gang, Tan Jiansheng
Recognition of material for underwater small targets is an extremely difficult task for the traditional CW and LFM signal. In order to distinguish different material types of underwater small targets with the same size and geometry, a series of broadband, transient-like bio-inspired dolphin sonar signals (clicks) are used as the transmitting waveform. In the joint time-frequency space, Reduced Interference Distribution (RID) is used to analyze the echoes, and then the RID-SV feature is extracted by singular value decomposition (SVD). The Support Vector Machines (SVM) are used to classify echoes. In order to verify the efficiency of the bio-inspired click signal for distinguishing materials, an anechoic pool experiment was conducted. In this experiment, three bio-inspired dolphin signals are generated by two linear frequency modulation component covering different frequency band in 40-80 kHz. These three signals are used to detect and recognize three 10 cm diameter solid spherical targets with different materials (copper, aluminum, stainless). Experimental results show that these spherical targets can be classified according to the bio-inspired dolphin click echo; Results also suggest that the classification of underwater small targets made form different materials can be improved by altering energy distribution of the bio-inspired signal in the frequency space.
{"title":"Classification for underwater small targets with different materials using bio-inspired Dolphin click","authors":"Qing Xin, Nie Donghu, Qiao Gang, Tan Jiansheng","doi":"10.1109/COA.2016.7535697","DOIUrl":"https://doi.org/10.1109/COA.2016.7535697","url":null,"abstract":"Recognition of material for underwater small targets is an extremely difficult task for the traditional CW and LFM signal. In order to distinguish different material types of underwater small targets with the same size and geometry, a series of broadband, transient-like bio-inspired dolphin sonar signals (clicks) are used as the transmitting waveform. In the joint time-frequency space, Reduced Interference Distribution (RID) is used to analyze the echoes, and then the RID-SV feature is extracted by singular value decomposition (SVD). The Support Vector Machines (SVM) are used to classify echoes. In order to verify the efficiency of the bio-inspired click signal for distinguishing materials, an anechoic pool experiment was conducted. In this experiment, three bio-inspired dolphin signals are generated by two linear frequency modulation component covering different frequency band in 40-80 kHz. These three signals are used to detect and recognize three 10 cm diameter solid spherical targets with different materials (copper, aluminum, stainless). Experimental results show that these spherical targets can be classified according to the bio-inspired dolphin click echo; Results also suggest that the classification of underwater small targets made form different materials can be improved by altering energy distribution of the bio-inspired signal in the frequency space.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117170650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535771
S. Jesus
Seismic inversion with an AUV-based sensor array system is an appealing concept that opens up a number of interesting possibilities but faces also a number of technological and scientific challenges. Among the technological challenges there is the fact that sensor arrays are no longer hardwired to the tow ship and therefore on the fly data monitoring imposes stringent restrictions on the amount of data that can be sent to the support ship. One of the scientific challenges is to determine the optimal sensor array configuration by exploring AUV mobility for inverting the bottom geophysical structure of interest. In fact, the industry standard long planar array and the associated acoustic data processing may not be the setup with the highest performance for each scenario at hand. Generic optimization of sensor distribution through space has been a long standing problem to which there are no closed form solutions. Generically speaking, field diversity maximization is often referred to as a criteria for sensor positioning. This work explores data incoherence as a possible criteria to derive performance of distributed sensor arrays. Additional technological limitations such as array aperture, number of sensors and distances between vehicles impose additional constraints leading to suboptimal configurations. Compressed sensing array processing is used both to explore data incoherence and to offer data reduction for alleviating on the fly monitoring.
{"title":"Distributed sensor array for bottom inversion","authors":"S. Jesus","doi":"10.1109/COA.2016.7535771","DOIUrl":"https://doi.org/10.1109/COA.2016.7535771","url":null,"abstract":"Seismic inversion with an AUV-based sensor array system is an appealing concept that opens up a number of interesting possibilities but faces also a number of technological and scientific challenges. Among the technological challenges there is the fact that sensor arrays are no longer hardwired to the tow ship and therefore on the fly data monitoring imposes stringent restrictions on the amount of data that can be sent to the support ship. One of the scientific challenges is to determine the optimal sensor array configuration by exploring AUV mobility for inverting the bottom geophysical structure of interest. In fact, the industry standard long planar array and the associated acoustic data processing may not be the setup with the highest performance for each scenario at hand. Generic optimization of sensor distribution through space has been a long standing problem to which there are no closed form solutions. Generically speaking, field diversity maximization is often referred to as a criteria for sensor positioning. This work explores data incoherence as a possible criteria to derive performance of distributed sensor arrays. Additional technological limitations such as array aperture, number of sensors and distances between vehicles impose additional constraints leading to suboptimal configurations. Compressed sensing array processing is used both to explore data incoherence and to offer data reduction for alleviating on the fly monitoring.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121622298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535809
Zhao An-bang, Zhao Zhishan, Hui Juan, N. Fang
A simulation method using the acoustic software SYSNOISE to study far-field acoustic performance in different angles of a planar phased array in broadside dome is performed. The planar array is installed parallel to the vessel centerline. The cases in which the acoustic window is parallel to the planar array and at an angle of 8 degrees are separately calculated. The simulation results show that the impact of the acoustic window to the far-field beams when the acoustic window is parallel to the array is smaller. When they are at an angle of 8 degrees, the impact of the acoustic window on the side lobes is more obvious than it on the main lobe. The cases when the acoustic window is fully transmissive and when it is with a titanium film are calculated. The titanium film introduces an obvious insertion loss, and the insertion loss of the side lobes is significantly larger than that in the case of the main lobe. The results have a practical significance to sonar installations in broadside domes.
{"title":"Simulation of the effect of acoustic window to the planar array at different angles","authors":"Zhao An-bang, Zhao Zhishan, Hui Juan, N. Fang","doi":"10.1109/COA.2016.7535809","DOIUrl":"https://doi.org/10.1109/COA.2016.7535809","url":null,"abstract":"A simulation method using the acoustic software SYSNOISE to study far-field acoustic performance in different angles of a planar phased array in broadside dome is performed. The planar array is installed parallel to the vessel centerline. The cases in which the acoustic window is parallel to the planar array and at an angle of 8 degrees are separately calculated. The simulation results show that the impact of the acoustic window to the far-field beams when the acoustic window is parallel to the array is smaller. When they are at an angle of 8 degrees, the impact of the acoustic window on the side lobes is more obvious than it on the main lobe. The cases when the acoustic window is fully transmissive and when it is with a titanium film are calculated. The titanium film introduces an obvious insertion loss, and the insertion loss of the side lobes is significantly larger than that in the case of the main lobe. The results have a practical significance to sonar installations in broadside domes.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121581473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1109/COA.2016.7535772
W. Duan, Y. R. Zheng, Dajun Sun, Youwen Zhang
In this paper, we propose a low complexity iterative detection scheme for the uncoded zero padding (ZP) single carrier (SC) transmission in Multiple-input Multiple-output (MIMO) underwater acoustic (UWA) channels. Due to the long multipath in UWA channels, ZP SC-FDE has to use large block size to achieve low computational complexity and high data efficiency. But, the higher bandwidth efficiency results in more sever channel estimation error and performance degradation. To enhance the performance of the ZP SC systems with high data efficiency, we design a soft-decision block iterative frequency-domain equalization (BI-FDE) combined with iterative channel estimation. With increasing reliability as the the iteration proceeds, the soft decision symbols obtained at the previous iteration are used to re-estimate the channel, thus improving the overall system performance. Since both the feedfoward and feedback filters are designed in frequency domain without the aid of channel coding, the proposed SD BI-FDE scheme is affordable for real-time implementation. The performance enhancement of the proposed iterative receiver has been verified through a pool test.
{"title":"Block iterative FDE for MIMO underwater acoustic communications","authors":"W. Duan, Y. R. Zheng, Dajun Sun, Youwen Zhang","doi":"10.1109/COA.2016.7535772","DOIUrl":"https://doi.org/10.1109/COA.2016.7535772","url":null,"abstract":"In this paper, we propose a low complexity iterative detection scheme for the uncoded zero padding (ZP) single carrier (SC) transmission in Multiple-input Multiple-output (MIMO) underwater acoustic (UWA) channels. Due to the long multipath in UWA channels, ZP SC-FDE has to use large block size to achieve low computational complexity and high data efficiency. But, the higher bandwidth efficiency results in more sever channel estimation error and performance degradation. To enhance the performance of the ZP SC systems with high data efficiency, we design a soft-decision block iterative frequency-domain equalization (BI-FDE) combined with iterative channel estimation. With increasing reliability as the the iteration proceeds, the soft decision symbols obtained at the previous iteration are used to re-estimate the channel, thus improving the overall system performance. Since both the feedfoward and feedback filters are designed in frequency domain without the aid of channel coding, the proposed SD BI-FDE scheme is affordable for real-time implementation. The performance enhancement of the proposed iterative receiver has been verified through a pool test.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128511890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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