An Acoustic Source Localization Algorithm Based on Maximum or Minimum Value Screening in Deep Sea Multipath Environment

In order to solve the problem of multipath propagation of sound waves generated by sea surface reflection, a time difference of arrival (TDOA) localization method based on maximum or minimum value screening is proposed. Firstly, based on the propagation characteristics of underwater acoustic channel, the distance equation of propagation path in the case of sea surface reflection and linear propagation is derived, and four kinds of measurement value equations of TDOA localization in the deepsea multipath environment are established. Then, the measured TDOA values of linear propagation of sound waves are obtained by screening the measured TDOA values for the twice maximum or minimum value. Finally, the underwater target localization is realized based on Chan and Taylor algorithm. Simulation results show that the localization accuracy of this algorithm is within 1 meter in the deep sea multipath environment with the ocean depth of less than 100 meters, which is greatly improved compared with the multipath TDOA algorithm based on statistical characteristics. The proposed algorithm can effectively eliminate the multipath error in the deep-sea environment and has high practicability and reliability.

[1]  Arie Yeredor,et al.  Bounds on Passive Tdoa Estimation in Mixtures , 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

[2]  Feng Jiang,et al.  A novel time difference of arrival localization algorithm using a neural network ensemble model , 2018, Int. J. Distributed Sens. Networks.

[3]  Shaolin Li,et al.  Source localization in a multipath environment using random or deterministic signals , 1990, Fifth ASSP Workshop on Spectrum Estimation and Modeling.

[4]  Yubin Kuang,et al.  Time delay estimation for TDOA self-calibration using truncated nuclear norm regularization , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Christopher M. Kreucher,et al.  Performance of maximum likelihood estimation for multipath TDOA passive ranging , 2015, 2015 18th International Conference on Information Fusion (Fusion).

[6]  Özgür B. Akan,et al.  A three dimensional localization algorithm for underwater acoustic sensor networks , 2009, IEEE Transactions on Wireless Communications.

[7]  Ivor Nissen,et al.  On the accuracy of passive multipath-aided underwater range estimation , 2016, 2016 IEEE Third Underwater Communications and Networking Conference (UComms).

[8]  Huan Liu,et al.  Joint Estimation of DOA and TDOA of Multiple Reflections in Mobile Communications , 2016, IEEE Access.

[9]  Hannan Lohrasbipeydeh,et al.  Single hydrophone passive source range and depth estimation in shallow water , 2013, 2013 MTS/IEEE OCEANS - Bergen.

[10]  T. Aaron Gulliver,et al.  Single hydrophone passive acoustic sperm whale range and depth estimation , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[11]  Jian Li,et al.  Exact and Approximate Solutions of Source Localization Problems , 2008, IEEE Transactions on Signal Processing.

[12]  Regina Kaune,et al.  Accuracy studies for TDOA and TOA localization , 2012, 2012 15th International Conference on Information Fusion.

[13]  C.L. Law,et al.  Position Estimation Using UWB TDOA Measurements , 2006, 2006 IEEE International Conference on Ultra-Wideband.

[14]  Qiulong Yang,et al.  Multipath-based passive source range localization with a single hydrophone in deep ocean , 2016, OCEANS 2016 - Shanghai.

[15]  Kegen Yu,et al.  Direction Finding for Transient Acoustic Source Based on Biased TDOA Measurement , 2016, IEEE Transactions on Instrumentation and Measurement.

[16]  J. Eric Salt,et al.  Near-optimal range and depth estimation using a vertical array in a correlated multipath environment , 2000, IEEE Trans. Signal Process..