Pub Date : 2016-08-08DOI: 10.1109/COA.2016.7535760
Yonggang Wang, Xiaohui Yang, Youwen Zhang, Dajun Sun
Frequency-hopping (FH) signals are widely applied in the commercial and military fields because of good robustness to interference. However, even with the best parameter estimation of FH signals, there will be a heavy computational burden. The cycle diagram method which is widely used in the estimation of FH signals is very rough and unreliable, while they limit the estimation performance. In this paper, we present an adaptive estimation method for the sparse spectrum based on the l1-norm sparse iterative covariance-based estimation (SPICE), namely l1-SPICE. l1-SPICE is used in the parameter estimation of FH signals, the process of which is then compared with the traditional short-time Fourier transform (STFT) and the conventional SPICE. Simulation results show that the proposed method is better than STFT and SPICE as regards the aspects of frequency resolution, sparse feature and accuracy, and this which makes l1-SPICE a good choice in respect of hopping time estimation and chip period estimation in FH signals.
{"title":"The parameter estimation of frequency-hopping signals via l1-SPICE","authors":"Yonggang Wang, Xiaohui Yang, Youwen Zhang, Dajun Sun","doi":"10.1109/COA.2016.7535760","DOIUrl":"https://doi.org/10.1109/COA.2016.7535760","url":null,"abstract":"Frequency-hopping (FH) signals are widely applied in the commercial and military fields because of good robustness to interference. However, even with the best parameter estimation of FH signals, there will be a heavy computational burden. The cycle diagram method which is widely used in the estimation of FH signals is very rough and unreliable, while they limit the estimation performance. In this paper, we present an adaptive estimation method for the sparse spectrum based on the l1-norm sparse iterative covariance-based estimation (SPICE), namely l1-SPICE. l1-SPICE is used in the parameter estimation of FH signals, the process of which is then compared with the traditional short-time Fourier transform (STFT) and the conventional SPICE. Simulation results show that the proposed method is better than STFT and SPICE as regards the aspects of frequency resolution, sparse feature and accuracy, and this which makes l1-SPICE a good choice in respect of hopping time estimation and chip period estimation in FH signals.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115987467","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 : 2016-08-08DOI: 10.1109/COA.2016.7535811
Thomas J. Deal, Kevin B. Smith
Acoustic vector sensors that measure pressure and orthogonal particle velocity are gaining widespread interest. Predicting their performance requires calculating the pressure field and the velocity fields, which require spatial gradients of the pressure field. In typical hydrophone applications, significant computational savings are realized by using reciprocity to generate the pressure field as a function of source position rather than receive position. However, the presence of the spatial gradients in the velocity fields means that reciprocity cannot be used to model the vector field for inverse problems. Instead, the inverse vector velocity field must be computed point by point, even for the simplest environments. Examples of this effect are demonstrated by the derivation of analytic expressions for pressure and particle velocity in a Pekeris waveguide. These simple waveguide results are extended to arbitrary, range-dependent, environment parameters using a parabolic equation model.
{"title":"Modeling acoustic vector fields for inverse problems","authors":"Thomas J. Deal, Kevin B. Smith","doi":"10.1109/COA.2016.7535811","DOIUrl":"https://doi.org/10.1109/COA.2016.7535811","url":null,"abstract":"Acoustic vector sensors that measure pressure and orthogonal particle velocity are gaining widespread interest. Predicting their performance requires calculating the pressure field and the velocity fields, which require spatial gradients of the pressure field. In typical hydrophone applications, significant computational savings are realized by using reciprocity to generate the pressure field as a function of source position rather than receive position. However, the presence of the spatial gradients in the velocity fields means that reciprocity cannot be used to model the vector field for inverse problems. Instead, the inverse vector velocity field must be computed point by point, even for the simplest environments. Examples of this effect are demonstrated by the derivation of analytic expressions for pressure and particle velocity in a Pekeris waveguide. These simple waveguide results are extended to arbitrary, range-dependent, environment parameters using a parabolic equation model.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126186218","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 : 2016-08-08DOI: 10.1109/COA.2016.7535836
Qunyan Ren, J. Hermand
This paper presents a sequential approach to infer sediment geoacoustic properties from the observation of vertical specific acoustic impedance due to ship noise. This acoustic quantity does not require knowledge of the source and is sensitive to ocean bottom properties including density. The approach is demonstrated for the characterization of sediment off the small Senegalese coast during EHL-IRD joint experiments [ECOAO 13]. The noise field due R/V Antea sailing parallel to the coast was recorded on a vertical, multi-wavelength pressure-gradient array (EHL) from which impedance data was derived. A particle filter (PF) simultaneously tracks the range variations of impedance at a number of discrete frequencies in order to output a sequence of environmental parameter estimates with their associated uncertainties in the form of posterior probability densities (PPDs). The range-averaged inversion results are in good agreement with those produced by a classical batch inversion method based on a genetic algorithm (GA). Apparent inhomogeneity of the ocean bottom is observed, which is consistent with the sieving analysis of sediment grab samples collected at two different locations. When compared to batch processing, the computational efficiency and robustness of particle filtering are due to the capacity of iteratively updating the estimated PPDs, as is demonstrated by implementing the inversion with different particle sizes, of 200, 300 and 400.
{"title":"Ship-noise based geoacoustic inversion via particle filtering of vertical specific acoustic impedance","authors":"Qunyan Ren, J. Hermand","doi":"10.1109/COA.2016.7535836","DOIUrl":"https://doi.org/10.1109/COA.2016.7535836","url":null,"abstract":"This paper presents a sequential approach to infer sediment geoacoustic properties from the observation of vertical specific acoustic impedance due to ship noise. This acoustic quantity does not require knowledge of the source and is sensitive to ocean bottom properties including density. The approach is demonstrated for the characterization of sediment off the small Senegalese coast during EHL-IRD joint experiments [ECOAO 13]. The noise field due R/V Antea sailing parallel to the coast was recorded on a vertical, multi-wavelength pressure-gradient array (EHL) from which impedance data was derived. A particle filter (PF) simultaneously tracks the range variations of impedance at a number of discrete frequencies in order to output a sequence of environmental parameter estimates with their associated uncertainties in the form of posterior probability densities (PPDs). The range-averaged inversion results are in good agreement with those produced by a classical batch inversion method based on a genetic algorithm (GA). Apparent inhomogeneity of the ocean bottom is observed, which is consistent with the sieving analysis of sediment grab samples collected at two different locations. When compared to batch processing, the computational efficiency and robustness of particle filtering are due to the capacity of iteratively updating the estimated PPDs, as is demonstrated by implementing the inversion with different particle sizes, of 200, 300 and 400.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480646","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 : 2016-08-08DOI: 10.1109/COA.2016.7535769
Zheguang Zou, M. Badiey, Xiaomei Xu
Wind raises time-varying roughness on air-sea interface, which deflects underlying sound and modifies underwater acoustic channel in short timescale. Performance degradations and system failures in underwater acoustic communication were reported due to wind-induced surface waves, especially for coherent communication systems which utilize phase information during the modulation. Here, we propose a controllable numerical approach for this problem: Realistic acoustic channels for different wind conditions are numerically simulated with wind-wave spectral methods and a 2-D rough-surface parabolic equation (PE) model; Then, these time-varying acoustic channels are tested with quadrature phase-shift keying (QPSK) modulation, one of the most fundamental modulation schemes for underwater acoustic coherent communication. Preliminary results suggest that in consideration of a time-varying environment, system performance for coherent communication degrades with increasing wind speed, as a result of increasing temporal variability of wind-impacted surface waves. Our numerical modeling method could be a helpful tool to study acoustic communication problems in time-varying ocean environments.
{"title":"Modeling acoustic coherent communication under wind-driven ocean surface waves","authors":"Zheguang Zou, M. Badiey, Xiaomei Xu","doi":"10.1109/COA.2016.7535769","DOIUrl":"https://doi.org/10.1109/COA.2016.7535769","url":null,"abstract":"Wind raises time-varying roughness on air-sea interface, which deflects underlying sound and modifies underwater acoustic channel in short timescale. Performance degradations and system failures in underwater acoustic communication were reported due to wind-induced surface waves, especially for coherent communication systems which utilize phase information during the modulation. Here, we propose a controllable numerical approach for this problem: Realistic acoustic channels for different wind conditions are numerically simulated with wind-wave spectral methods and a 2-D rough-surface parabolic equation (PE) model; Then, these time-varying acoustic channels are tested with quadrature phase-shift keying (QPSK) modulation, one of the most fundamental modulation schemes for underwater acoustic coherent communication. Preliminary results suggest that in consideration of a time-varying environment, system performance for coherent communication degrades with increasing wind speed, as a result of increasing temporal variability of wind-impacted surface waves. Our numerical modeling method could be a helpful tool to study acoustic communication problems in time-varying ocean environments.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124131","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 : 2016-08-08DOI: 10.1109/COA.2016.7535628
Xiangdong Jiang
To improve the weak discriminability of the feature vector for underwater acoustic classification, a new methods of feature differentiation optimization was proposed in this paper. By mapping the feature vectors to transform space, we can enhance the differentiation. Data processing results proved the advantage of higher classification correct ratio and feature vector dimension reduction of the promoted method.
{"title":"Feature discriminability improve methods for classification","authors":"Xiangdong Jiang","doi":"10.1109/COA.2016.7535628","DOIUrl":"https://doi.org/10.1109/COA.2016.7535628","url":null,"abstract":"To improve the weak discriminability of the feature vector for underwater acoustic classification, a new methods of feature differentiation optimization was proposed in this paper. By mapping the feature vectors to transform space, we can enhance the differentiation. Data processing results proved the advantage of higher classification correct ratio and feature vector dimension reduction of the promoted method.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121021241","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 : 2016-08-08DOI: 10.1109/COA.2016.7535766
Wang Chunyu, He Lin, Li Yan, Z. Xiaoping, Zuo Lei
Noise is unavoidable in a vibration control system due to the complexity of the actual application environment and the measuring limitation of sensing devices. In this paper, the jamming effects on the convergence process is analyzed and then we propose a new variable-step adaptive FxLMS algorithm which can reduce the negative effects of interference. The new algorithm can not only solve the problem in active vibration control (AVC) properly, but also decrease the misadjustment without slowing down the convergence rate. Simulation and experimental results show that the improved algorithm can effectively reduce the noise interference, and improve the application level of FxLMS algorithms in the case of vibration control.
{"title":"An anti-interference variable-step adaptive algorithm and its application in active vibration control","authors":"Wang Chunyu, He Lin, Li Yan, Z. Xiaoping, Zuo Lei","doi":"10.1109/COA.2016.7535766","DOIUrl":"https://doi.org/10.1109/COA.2016.7535766","url":null,"abstract":"Noise is unavoidable in a vibration control system due to the complexity of the actual application environment and the measuring limitation of sensing devices. In this paper, the jamming effects on the convergence process is analyzed and then we propose a new variable-step adaptive FxLMS algorithm which can reduce the negative effects of interference. The new algorithm can not only solve the problem in active vibration control (AVC) properly, but also decrease the misadjustment without slowing down the convergence rate. Simulation and experimental results show that the improved algorithm can effectively reduce the noise interference, and improve the application level of FxLMS algorithms in the case of vibration control.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307584","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 : 2016-08-08DOI: 10.1109/COA.2016.7535651
Tang Rui, Zhang Yiming, Li Qi, Shang Dajing
The non-anechoic tank with elastic boundary is a widely used experimental apparatus, and mastering the sound field characteristics is very important for acoustical testing. But the predicting methods still need to improve to ensure a better fit with sound field testing. Considering the enormous differences of the characteristic impedance between air and water, the analytical model of a non-anechoic tank with elastic boundary in previous works was always based on the absolute soft approximation to simulate the boundary of the sound field. However, the boundary effects on the sound field which are caused either by the absolute soft or the elastic are very different, and that may be the real reason why there are obvious differences between analytical calculations and experimental results. Because of the complex coupling mechanism among boundary, sound field and sound source, the numerical methods relevant to analysis of sound field in a tank are somewhat limited. In order accurately to forecast the sound field in a non-anechoic water tank with elastic boundary, both the analytical method and numerical analysis method are established in this study. The analytical method is based on normal-wave theory, in which the general velocity potential function is constructed by considering the boundary influence. The numerical method is based on finite element theory, in which the acoustics finite element software Actran is used for computing, and the convergence validity of the numerical method is verified by the established analytical method. Differences between the effects to the sound field caused by the absolute soft boundary and the elastic boundary are further analyzed. Finally, verification tests are carried out in a glass tank. By comparing the normalized amplitude of sound pressure, we found that the calculation and experimental results matches well, especially in the low frequency range.
{"title":"The investigation of the methods for predicting the sound field in a non-anechoic tank with elastic boundary","authors":"Tang Rui, Zhang Yiming, Li Qi, Shang Dajing","doi":"10.1109/COA.2016.7535651","DOIUrl":"https://doi.org/10.1109/COA.2016.7535651","url":null,"abstract":"The non-anechoic tank with elastic boundary is a widely used experimental apparatus, and mastering the sound field characteristics is very important for acoustical testing. But the predicting methods still need to improve to ensure a better fit with sound field testing. Considering the enormous differences of the characteristic impedance between air and water, the analytical model of a non-anechoic tank with elastic boundary in previous works was always based on the absolute soft approximation to simulate the boundary of the sound field. However, the boundary effects on the sound field which are caused either by the absolute soft or the elastic are very different, and that may be the real reason why there are obvious differences between analytical calculations and experimental results. Because of the complex coupling mechanism among boundary, sound field and sound source, the numerical methods relevant to analysis of sound field in a tank are somewhat limited. In order accurately to forecast the sound field in a non-anechoic water tank with elastic boundary, both the analytical method and numerical analysis method are established in this study. The analytical method is based on normal-wave theory, in which the general velocity potential function is constructed by considering the boundary influence. The numerical method is based on finite element theory, in which the acoustics finite element software Actran is used for computing, and the convergence validity of the numerical method is verified by the established analytical method. Differences between the effects to the sound field caused by the absolute soft boundary and the elastic boundary are further analyzed. Finally, verification tests are carried out in a glass tank. By comparing the normalized amplitude of sound pressure, we found that the calculation and experimental results matches well, especially in the low frequency range.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"44 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132432726","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 : 2016-08-08DOI: 10.1109/COA.2016.7535812
Xuhu Wang, Yongwei Liu, Qunfei Zhang
The sources number estimation methods of the acoustic vector hydrophone array based on Gerschgorin disk criterion (VGDE) are analyzed in this paper. Since the success detection signal to noise ratio of the original VGDE method is relatively high, the compressed radius VGDE approach (CR-VGDE) and the modified CR-VGDE approach (MCR-VGDE) are proposed to reduce the detectable signal to noise ratio and improve detection performance of the acoustic vector hydrophone array. The radius of Gerschgorin disks are weighted and the Gerschgorin disks are compressed in the CR-VGDE approach, therefore, the signal Gerschgorin disks and noise Gerschgorin disks are further separated in the weighted compression process, which improves the detection performance of the acoustic vector hydrophone array. As the adjustment factor need to be set manually in the CR-VGDE method, a design approach of the dynamic adjustment factor is presented in the MCR-VGDE method. Simulation results indicate the detectable signal to noise ratio of the two modified processing approaches are lower than that of the original VGDE approach.
{"title":"Modified sources number estimation methods of the acoustic vector hydrophone array based on Gerschgorin disk criterion","authors":"Xuhu Wang, Yongwei Liu, Qunfei Zhang","doi":"10.1109/COA.2016.7535812","DOIUrl":"https://doi.org/10.1109/COA.2016.7535812","url":null,"abstract":"The sources number estimation methods of the acoustic vector hydrophone array based on Gerschgorin disk criterion (VGDE) are analyzed in this paper. Since the success detection signal to noise ratio of the original VGDE method is relatively high, the compressed radius VGDE approach (CR-VGDE) and the modified CR-VGDE approach (MCR-VGDE) are proposed to reduce the detectable signal to noise ratio and improve detection performance of the acoustic vector hydrophone array. The radius of Gerschgorin disks are weighted and the Gerschgorin disks are compressed in the CR-VGDE approach, therefore, the signal Gerschgorin disks and noise Gerschgorin disks are further separated in the weighted compression process, which improves the detection performance of the acoustic vector hydrophone array. As the adjustment factor need to be set manually in the CR-VGDE method, a design approach of the dynamic adjustment factor is presented in the MCR-VGDE method. Simulation results indicate the detectable signal to noise ratio of the two modified processing approaches are lower than that of the original VGDE approach.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121929465","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 : 2016-08-08DOI: 10.1109/COA.2016.7535617
Yang Fengmao, Song Yang
Sound speed profile estimating based on the travel time of sound propagation is widely used. However, in practical applications, the measurement data often have some error from technical or human aspects. That would make adverse effects on the inversion results. Data assimilation methods were studied in this paper. Based on the uncertainty of acoustic measurement and acoustic propagation model, one sound speed profile data assimilation processing system with a three-dimensional variational algorithm was established. And the sound speed profile correction results show that data assimilation could give a more accurate estimation of sound speed profile results.
{"title":"Research on Data Assimilation methods for sound speed profile inversion","authors":"Yang Fengmao, Song Yang","doi":"10.1109/COA.2016.7535617","DOIUrl":"https://doi.org/10.1109/COA.2016.7535617","url":null,"abstract":"Sound speed profile estimating based on the travel time of sound propagation is widely used. However, in practical applications, the measurement data often have some error from technical or human aspects. That would make adverse effects on the inversion results. Data assimilation methods were studied in this paper. Based on the uncertainty of acoustic measurement and acoustic propagation model, one sound speed profile data assimilation processing system with a three-dimensional variational algorithm was established. And the sound speed profile correction results show that data assimilation could give a more accurate estimation of sound speed profile results.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115594347","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 : 2016-08-08DOI: 10.1109/COA.2016.7535701
Li Zhao, Sun Da-jun, S. Dosso
This paper derives an analytical expression for acoustic horizontal ranging error caused by observation errors, using ray-tracing theory. It covers sound-speed measurement error, depth-sensor error and timing error. The analytical expression focuses on the acoustic ranging problem of the commercial underwater acoustic localization systems with medium frequencies (~5 kHz-50 kHz), in which non-turning direct-path eigenrays are used in the triangulation. To show the application of this expression, analytical calculations are carried out to study the acoustic ranging error for a seafloor transponder using surface acoustic measurements.
{"title":"Analytical study of acoustic ranging accuracy","authors":"Li Zhao, Sun Da-jun, S. Dosso","doi":"10.1109/COA.2016.7535701","DOIUrl":"https://doi.org/10.1109/COA.2016.7535701","url":null,"abstract":"This paper derives an analytical expression for acoustic horizontal ranging error caused by observation errors, using ray-tracing theory. It covers sound-speed measurement error, depth-sensor error and timing error. The analytical expression focuses on the acoustic ranging problem of the commercial underwater acoustic localization systems with medium frequencies (~5 kHz-50 kHz), in which non-turning direct-path eigenrays are used in the triangulation. To show the application of this expression, analytical calculations are carried out to study the acoustic ranging error for a seafloor transponder using surface acoustic measurements.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271768","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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