Pub Date : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050595
Ming Liu, Haiqiang Niu, Zhuguo Li, Yonggang Guo
Geoacoustic inversion is regarded as a global or local optimization problem for the conventional matched-field inversion (MFI), while it is treated as a nonlinear regression problem in a machine learning (ML) framework in this paper. A case study is performed to evaluate the feasibility of these two inversion methods when the two-layer bottom is assumed to be a half space model in a shallow water environment. A convolutional neural network (CNN) with multi-task learning is used to estimate geoacoustic parameters simultaneously in shallow water. The network input is the normalized sample covariance matrices of the broadband data received by a vertical line array in frequency domain. The training data, validation data, and test data are generated by an acoustic propagation model. Localization and transmission loss (TL) for different typical bottom models are used to verify the performance of CNN and MFI. Simulation results demonstrate that the trained CNN is robust in geoacoustic inversion even on noisy test data with a moderate Signal-to-Noise Ratio (SNR) and achieve inversion performance comparable to the MFI.
{"title":"A Case Study of Geoacoustic Inversion Based on Convolutional Neural Network Using Vertical Array Data","authors":"Ming Liu, Haiqiang Niu, Zhuguo Li, Yonggang Guo","doi":"10.1109/ICICSP55539.2022.10050595","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050595","url":null,"abstract":"Geoacoustic inversion is regarded as a global or local optimization problem for the conventional matched-field inversion (MFI), while it is treated as a nonlinear regression problem in a machine learning (ML) framework in this paper. A case study is performed to evaluate the feasibility of these two inversion methods when the two-layer bottom is assumed to be a half space model in a shallow water environment. A convolutional neural network (CNN) with multi-task learning is used to estimate geoacoustic parameters simultaneously in shallow water. The network input is the normalized sample covariance matrices of the broadband data received by a vertical line array in frequency domain. The training data, validation data, and test data are generated by an acoustic propagation model. Localization and transmission loss (TL) for different typical bottom models are used to verify the performance of CNN and MFI. Simulation results demonstrate that the trained CNN is robust in geoacoustic inversion even on noisy test data with a moderate Signal-to-Noise Ratio (SNR) and achieve inversion performance comparable to the MFI.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127612521","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}
Range-ambiguous clutter suppression becomes a challenging task in the non-side-looking array due to the existences of range ambiguity and clutter range dependence simultaneously. Frequency diverse array (FDA) enables to resolve the range ambiguity, however, it comes at the cost of transmitted gain loss as compared to the phased array (PA). Therefore, by exploring integration between PA and FDA, a cooperated range-ambiguous clutter suppression method based on the PA-FDA dual-mode radar is proposed in this paper. First, the clutter covariance matrixes (CCMs) from different range-ambiguous regions can be estimated by using FDA technique. In the sequel, these independent covariance matrices are combined to estimate the covariance matrix for each particular range-cell of the PA radar. Therefore, the advantages of PA radar and FDA radar can be fully exploited by the PA-FDA dual-mode radar for range-ambiguous clutter suppression and moving target enhancement. Moreover, the enlarged beam coverage to the whole space and improved gain at particular angle for PA greatly contribute to the searching and tracking tasks, respectively. Simulation results are provided to demonstrate the effectiveness of the proposed method.
{"title":"Cooperated Range-Ambiguous Clutter Suppression Based on PA-FDA Dual-Mode Radar","authors":"Zhixin Liu, Shengqi Zhu, Jingwei Xu, Ximin Li, Yunfei Fang, Jie Gao","doi":"10.1109/ICICSP55539.2022.10050634","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050634","url":null,"abstract":"Range-ambiguous clutter suppression becomes a challenging task in the non-side-looking array due to the existences of range ambiguity and clutter range dependence simultaneously. Frequency diverse array (FDA) enables to resolve the range ambiguity, however, it comes at the cost of transmitted gain loss as compared to the phased array (PA). Therefore, by exploring integration between PA and FDA, a cooperated range-ambiguous clutter suppression method based on the PA-FDA dual-mode radar is proposed in this paper. First, the clutter covariance matrixes (CCMs) from different range-ambiguous regions can be estimated by using FDA technique. In the sequel, these independent covariance matrices are combined to estimate the covariance matrix for each particular range-cell of the PA radar. Therefore, the advantages of PA radar and FDA radar can be fully exploited by the PA-FDA dual-mode radar for range-ambiguous clutter suppression and moving target enhancement. Moreover, the enlarged beam coverage to the whole space and improved gain at particular angle for PA greatly contribute to the searching and tracking tasks, respectively. Simulation results are provided to demonstrate the effectiveness of the proposed method.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"630 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180842","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050606
Xuemin Wang, Shuncheng Tan, Hongbo Yu
In order to solve the problem of detection and tracking of maneuvering weak targets by aerial sonobuoys, a track-before-detect method based on stochastic parabolic Hough transform was constructed. The azimuth measurement of the target was cross-located by the adaptive correlation detection buoy group, and the corresponding position information in the target measurement was obtained. The stochastic parabolic Hough transform method was used to convert the target expansion measurement to the parameter space, and the target's maneuvering track was accumulated in the parameter space. The traditional random parabolic Hough transform method was improved by means of azimuth transformation to reduce the computational complexity of the algorithm. The problem of passive detection of maneuvering weak targets was transformed into a track detection problem based on random parabolic Hough transform under the track-before-detect model, which reduces the missed track detection of weak targets with low signal-to-noise ratio. The simulation results show that the detection probability exceeds 70 % when the signal-to-noise ratio is greater than 5 dB.
{"title":"Passive Detection Method of Underwater Maneuvering Target Based on Random Parabolic Hough Transform","authors":"Xuemin Wang, Shuncheng Tan, Hongbo Yu","doi":"10.1109/ICICSP55539.2022.10050606","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050606","url":null,"abstract":"In order to solve the problem of detection and tracking of maneuvering weak targets by aerial sonobuoys, a track-before-detect method based on stochastic parabolic Hough transform was constructed. The azimuth measurement of the target was cross-located by the adaptive correlation detection buoy group, and the corresponding position information in the target measurement was obtained. The stochastic parabolic Hough transform method was used to convert the target expansion measurement to the parameter space, and the target's maneuvering track was accumulated in the parameter space. The traditional random parabolic Hough transform method was improved by means of azimuth transformation to reduce the computational complexity of the algorithm. The problem of passive detection of maneuvering weak targets was transformed into a track detection problem based on random parabolic Hough transform under the track-before-detect model, which reduces the missed track detection of weak targets with low signal-to-noise ratio. The simulation results show that the detection probability exceeds 70 % when the signal-to-noise ratio is greater than 5 dB.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759702","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050702
Kai Wei, Qi Cao, Qun Yan, Jian Xu, Dongwen Xue, Zhuohan Li
In order to study the aeroacoustics of aircraft propeller, an experimental platform for propeller aeroacoustics was developed. The aeroacoustic test of the propeller was carried out in a semi-anechoic chamber, and the aerodynamics and far-field noise characteristics of the propeller were obtained. The relationship between propeller aerodynamic parameters, far-field noise, speed and pitch angle was analyzed, respectively. The study proved that the aerodynamic parameters increased with the increase of speed and pitch angle, such as thrust and torque. The largest far-field noise area could move with the change of propeller speed and pitch angle. The experimental platform and test scheme developed in this paper may provide reference for propeller aeroacoustics assessment.
{"title":"Experimental Analysis on Aeroacoustics of Propeller in Semi-anechoic Chamber","authors":"Kai Wei, Qi Cao, Qun Yan, Jian Xu, Dongwen Xue, Zhuohan Li","doi":"10.1109/ICICSP55539.2022.10050702","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050702","url":null,"abstract":"In order to study the aeroacoustics of aircraft propeller, an experimental platform for propeller aeroacoustics was developed. The aeroacoustic test of the propeller was carried out in a semi-anechoic chamber, and the aerodynamics and far-field noise characteristics of the propeller were obtained. The relationship between propeller aerodynamic parameters, far-field noise, speed and pitch angle was analyzed, respectively. The study proved that the aerodynamic parameters increased with the increase of speed and pitch angle, such as thrust and torque. The largest far-field noise area could move with the change of propeller speed and pitch angle. The experimental platform and test scheme developed in this paper may provide reference for propeller aeroacoustics assessment.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"2002 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123760745","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050695
Tiantian Zhong, H. Tao
This paper investigates the estimation of parameters, including azimuth, elevation, polarization auxiliary angle and polarization phase difference of near-field sources in a polarimetric uniform linear array (P-ULA) with defective electromagnetic vector sensors. At the design stage, the cross-distribution dipole pairs are alternately placed in the xoy-plane and the yoz-plane, respectively. Specifically, the polarization auxiliary angle and phase difference as well as azimuth and elevation of the source are estimated based on the fourth-order cumulant (FOC) matrix in each subarray. Moreover, a decoupling method is developed to obtain the azimuth and elevation. Finally, the parameters pair matching is performed to eliminate the estimation errors. Simulation results are provided to verify the effectiveness of the proposed method for multi-dimensional parameters estimation.
{"title":"Parameters Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs","authors":"Tiantian Zhong, H. Tao","doi":"10.1109/ICICSP55539.2022.10050695","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050695","url":null,"abstract":"This paper investigates the estimation of parameters, including azimuth, elevation, polarization auxiliary angle and polarization phase difference of near-field sources in a polarimetric uniform linear array (P-ULA) with defective electromagnetic vector sensors. At the design stage, the cross-distribution dipole pairs are alternately placed in the xoy-plane and the yoz-plane, respectively. Specifically, the polarization auxiliary angle and phase difference as well as azimuth and elevation of the source are estimated based on the fourth-order cumulant (FOC) matrix in each subarray. Moreover, a decoupling method is developed to obtain the azimuth and elevation. Finally, the parameters pair matching is performed to eliminate the estimation errors. Simulation results are provided to verify the effectiveness of the proposed method for multi-dimensional parameters estimation.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823215","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050587
Chunlan Luo, Xiaoxia Zhu
A fast decoding algorithm scheme is proposed for the quadratic residue code with code length of 47 and large error-correcting capacity of 5 errors in this paper, called optimized algebraic decoding algorithm (OADA). The main contributions of this article are to deduce a method to quickly compute the related unknown syndrome of (47,24,11) QR code and a simpler discriminant condition to detect whether four errors occurred in the received word. The decoding algorithm scheme needs lower memory requirement compared with the algorithm based on the full hard decision algebraic decoding algorithm. For exhaustive simulation test of all the error patterns shows that the proposed algorithm of (47, 24, 11) QR code improves the decoding performance and decoding efficiency.
{"title":"Optimized Algebraic Decoding Algorithm for (47, 24, 11) QR Code","authors":"Chunlan Luo, Xiaoxia Zhu","doi":"10.1109/ICICSP55539.2022.10050587","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050587","url":null,"abstract":"A fast decoding algorithm scheme is proposed for the quadratic residue code with code length of 47 and large error-correcting capacity of 5 errors in this paper, called optimized algebraic decoding algorithm (OADA). The main contributions of this article are to deduce a method to quickly compute the related unknown syndrome of (47,24,11) QR code and a simpler discriminant condition to detect whether four errors occurred in the received word. The decoding algorithm scheme needs lower memory requirement compared with the algorithm based on the full hard decision algebraic decoding algorithm. For exhaustive simulation test of all the error patterns shows that the proposed algorithm of (47, 24, 11) QR code improves the decoding performance and decoding efficiency.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480053","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050569
Song Jie, Yan Yujia
The passive detection system based on non cooperative airborne radar transmitter separates the transmitter and receiver and arranges them on different platforms. The transmitter can be an early warning aircraft, and the receiver can be equipped with high-resolution radar. The system is flexible, the signal interception probability is low, and the anti electromagnetic interference ability is strong. However, this system will make the clutter change with the moving state of the emitter. To solve this problem, a method of dynamic clutter simulation is proposed according to the characteristics of the clutter covariance matrix, and a non-cooperative radar target detection system is designed to deal with the dynamic clutter. The results show that the location, velocity, and angle of the radiation source and target can be extracted by the non-cooperative radar radiation source-target detection system after clutter dynamic processing.
{"title":"Simulation of Dynamic Clutter and Signal Processing of Passive Detection Based on Non-cooperative Airbone Radar Emitter","authors":"Song Jie, Yan Yujia","doi":"10.1109/ICICSP55539.2022.10050569","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050569","url":null,"abstract":"The passive detection system based on non cooperative airborne radar transmitter separates the transmitter and receiver and arranges them on different platforms. The transmitter can be an early warning aircraft, and the receiver can be equipped with high-resolution radar. The system is flexible, the signal interception probability is low, and the anti electromagnetic interference ability is strong. However, this system will make the clutter change with the moving state of the emitter. To solve this problem, a method of dynamic clutter simulation is proposed according to the characteristics of the clutter covariance matrix, and a non-cooperative radar target detection system is designed to deal with the dynamic clutter. The results show that the location, velocity, and angle of the radiation source and target can be extracted by the non-cooperative radar radiation source-target detection system after clutter dynamic processing.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122367688","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050690
Aifei Liu, Fujia Xu, Boyang Du, Yanting Wang
A sparse representation-based direction-of-arrival (DOA) estimation method is proposed which defines a concentration ratio (CR) criterion for selecting the regularization parameter, shorten as the SRCR method. The proposed SRCR method performs regardless of the statistics of noise and thus it is applicable in the case of noise with unknown statistics. In particular, the SRCR method defines the CR of the recovered sparse vector as a criterion for selecting the regularization parameter. In addition, it optimizes the regularization parameter to ensure the CR is near to 1. By this way, the optimized regularization parameter recovers the sparsest signal vector, which results in correct DOA estimation. Simulation results demonstrate that the SRCR method is independent of the statistics of noise, and it performs significantly better than the SR-based DOA estimation method with the discrepancy principle (DP) for the regularization parameter selection.
{"title":"Sparse Representation-Based DOA Estimation with Concentration Ratio Criteria","authors":"Aifei Liu, Fujia Xu, Boyang Du, Yanting Wang","doi":"10.1109/ICICSP55539.2022.10050690","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050690","url":null,"abstract":"A sparse representation-based direction-of-arrival (DOA) estimation method is proposed which defines a concentration ratio (CR) criterion for selecting the regularization parameter, shorten as the SRCR method. The proposed SRCR method performs regardless of the statistics of noise and thus it is applicable in the case of noise with unknown statistics. In particular, the SRCR method defines the CR of the recovered sparse vector as a criterion for selecting the regularization parameter. In addition, it optimizes the regularization parameter to ensure the CR is near to 1. By this way, the optimized regularization parameter recovers the sparsest signal vector, which results in correct DOA estimation. Simulation results demonstrate that the SRCR method is independent of the statistics of noise, and it performs significantly better than the SR-based DOA estimation method with the discrepancy principle (DP) for the regularization parameter selection.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135173","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050705
Wei Pan, Daofang Feng, Yuanwen Li, Min Li
The equivalent source method (ESM) based on nearfield acoustic holography (NAH) is an important technique for sound source identification, and the proper arrangement of the equivalent sources is critical to improve the accuracy of the identification results. Traditional approaches are hard to use for accurately locating low and medium frequency sound sources, therefore, cannot provide reasonable information for the collocation of the equivalent sources. To overcome the issue, a joint iterative regularized sound source localization method based on a combination of constrained L1 and L2 regularization is developed first, followed by the optimal placement of the equivalent sources near the localized sound sources. The sparsity and robustness of results are guaranteed by using the compound regularizers of Li and L2. The simulation results show that the traditional methods have a resolution of roughly 1/2 wavelength, whereas the proposed method has a resolution of just 1/3 wavelength. Two typical cases are analyzed in the measured experiment. The sound source amplitude reconstruction error dropped from 16.67% to 4.17% and from 20.83% to 11.46%, respectively. According to the results of simulation and indoor measurements, the method provides superior spatial resolution, source intensity quantification accuracy, and robustness to traditional methods.
{"title":"Sound Source Identification Method Based on Location Optimization of Equivalent Sources","authors":"Wei Pan, Daofang Feng, Yuanwen Li, Min Li","doi":"10.1109/ICICSP55539.2022.10050705","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050705","url":null,"abstract":"The equivalent source method (ESM) based on nearfield acoustic holography (NAH) is an important technique for sound source identification, and the proper arrangement of the equivalent sources is critical to improve the accuracy of the identification results. Traditional approaches are hard to use for accurately locating low and medium frequency sound sources, therefore, cannot provide reasonable information for the collocation of the equivalent sources. To overcome the issue, a joint iterative regularized sound source localization method based on a combination of constrained L1 and L2 regularization is developed first, followed by the optimal placement of the equivalent sources near the localized sound sources. The sparsity and robustness of results are guaranteed by using the compound regularizers of Li and L2. The simulation results show that the traditional methods have a resolution of roughly 1/2 wavelength, whereas the proposed method has a resolution of just 1/3 wavelength. Two typical cases are analyzed in the measured experiment. The sound source amplitude reconstruction error dropped from 16.67% to 4.17% and from 20.83% to 11.46%, respectively. According to the results of simulation and indoor measurements, the method provides superior spatial resolution, source intensity quantification accuracy, and robustness to traditional methods.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694636","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 : 2022-11-26DOI: 10.1109/ICICSP55539.2022.10050586
Xuegang Shi, Hangfang Zhao
Pressure inverted echo sounder (PIES) is an ocean observation instrument which is anchored to the seabed and measures the vertical acoustic travel time (VATT). Gravest Empirical Mode (GEM) and Optimal Interpolation are used to inverse sound speed profiles (SSPs) and reconstruct sound speed field (SSF) with the data of PIES array. A vertical SSP can be regarded as a known observation in three-dimension SSF but in fact the number of these observations is very small that leads to a challenge for reconstruction of SSF. To circumvent such an issue, graph signal processing (GSP) is introduced in this paper. The SSF is modeled as a product graph that can be decomposed into two smaller factor graphs. In this way, the original search space on product graph is reduced into the union of two much smaller spaces so that more accurate reconstruction results of SSF can be obtained by observing only a small subset of vertices on product graph. Besides the underlying structure of product graph, the bandlimited characteristic in graph spectrum analysis is leveraged to reconstruct SSF. The numerical results show that our proposed method performs better and achieves lower root mean square error (RMSE) in reconstruction of SSF.
{"title":"Sound Speed Profiles Inversion by Pressure Inverted Echo Sounder and Reconstruction on Product Graph","authors":"Xuegang Shi, Hangfang Zhao","doi":"10.1109/ICICSP55539.2022.10050586","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050586","url":null,"abstract":"Pressure inverted echo sounder (PIES) is an ocean observation instrument which is anchored to the seabed and measures the vertical acoustic travel time (VATT). Gravest Empirical Mode (GEM) and Optimal Interpolation are used to inverse sound speed profiles (SSPs) and reconstruct sound speed field (SSF) with the data of PIES array. A vertical SSP can be regarded as a known observation in three-dimension SSF but in fact the number of these observations is very small that leads to a challenge for reconstruction of SSF. To circumvent such an issue, graph signal processing (GSP) is introduced in this paper. The SSF is modeled as a product graph that can be decomposed into two smaller factor graphs. In this way, the original search space on product graph is reduced into the union of two much smaller spaces so that more accurate reconstruction results of SSF can be obtained by observing only a small subset of vertices on product graph. Besides the underlying structure of product graph, the bandlimited characteristic in graph spectrum analysis is leveraged to reconstruct SSF. The numerical results show that our proposed method performs better and achieves lower root mean square error (RMSE) in reconstruction of SSF.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132073993","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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