Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA

Dongzhou ZHAN; Sitian WANG; Shougui CAI; Huarong ZHENG; Wen XU

doi:10.1631/FITEE.2100398

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Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA

Regular Papers | Updated：2023-01-28

- Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA
  Enhanced Publication
- 基于到达时间差和到达频率差的多层等梯度声速剖面建模与声学定位
- Frontiers of Information Technology & Electronic Engineering Vol. 24, Issue 1, Pages: 164-175(2023)
- Affiliations：
  
  1.College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
  2.Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, Ocean College, Zhejiang University, Zhoushan 316021, China
- Author bio：
  
  ‡Corresponding authors
- Funds：
- DOI：10.1631/FITEE.2100398
  CLC： TN98
- Published：0 January 2023，
  
  Received：22 August 2021，
  
  Accepted：2021-11-01
- Accepted：
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DONGZHOU ZHAN, SITIAN WANG, SHOUGUI CAI, et al. Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA. [J]. Frontiers of information technology & electronic engineering, 2023, 24(1): 164-175.
DOI：

DONGZHOU ZHAN, SITIAN WANG, SHOUGUI CAI, et al. Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA. [J]. Frontiers of information technology & electronic engineering, 2023, 24(1): 164-175. DOI： 10.1631/FITEE.2100398.

摘要

在水下媒介中，声速随着水深、温度和盐度而变化。水体的不均匀性导致声线弯折，使得现有基于声信号直线传播假设的定位算法不够精确。为实现水下声学传感网络中的高精度节点定位，本文首先使用线性分割近似方法，提出多层等梯度声速剖面（sound speed profile，SSP）模型。基于此模型，可将声线跟踪问题转化为多项式寻根问题。利用传感器节点处信号多普勒频移的导数，提出一种新的使用到达时间差（time difference of arrival，TDOA）和到达频率差（frequency difference of arrival，FDOA）的水下节点定位算法。通过模拟仿真，可以证明所提算法的有效性。与传统基于直线传播假设的方法相比，所提算法可有效处理声线弯折现象。此外，研究了不同SSP建模误差下的估计精度。总体而言，新提出的方法可以实现准确可靠的节点定位。

Abstract

In the underwater medium

the speed of sound varies with water depth

temperature

and salinity. The inhomogeneity of water leads to bending of sound rays

making the existing localization algorithms based on straight-line propagation less precise. To realize high-precision node positioning in underwater acoustic sensor networks (UASNs)

a multi-layer isogradient sound speed profile (SSP) model is developed using the linear segmentation approximation approach. Then

the sound ray tracking problem is converted into a polynomial root-searching problem. Based on the derived gradient of the signal's Doppler shift at the sensor node

a novel underwater node localization algorithm is proposed using both the time difference of arrival (TDOA) and frequency difference of arrival (FDOA). Simulations are implemented to illustrate the effectiveness of the proposed algorithm. Compared with the traditional straight-line propagation method

the proposed algorithm can effectively handle the sound ray bending phenomenon. Estimation accuracy with different SSP modeling errors is also investigated. Overall

accurate and reliable node localization can be achieved.

关键词

水下声学传感器网络声学定位声速剖面到达时间差（TDOA）到达频率差（FDOA）

Keywords

Underwater acoustic sensor networkAcoustic localizationSound speed profileTime difference of arrival (TDOA)Frequency difference of arrival (FDOA)

references

Ameer PM, Jacob L, 2010. Localization using ray tracing for underwater acoustic sensor networks. IEEE Commun Lett, 14(10):930-932. doi: 10.1109/LCOMM.2010.090810.101237http://doi.org/10.1109/LCOMM.2010.090810.101237

Beaudeau JP, Bugallo MF, Djurić PM, 2015. RSSI-based multi-target tracking by cooperative agents using fusion of cross-target information. IEEE Trans Signal Processing, 63(19):5033-5044. doi: 10.1109/TSP.2015.2448530http://doi.org/10.1109/TSP.2015.2448530

Bogushevich AY, 1999. To an analysis of the acoustic Doppler effect in a three-dimensional inhomogeneous moving medium. Atmos Ocean Opt, 12(4):301-308.

Cai SJ, 2019. Research on Positioning Error Correction in Underwater Acoustic Sensor Network with Sound Speed Inversion. MS Thesis, Zhejiang University, Hangzhou, China (in Chinese).

Chen HY, Liu MQ, Zhang SL, 2018. Energy-efficient localization and target tracking via underwater mobile sensor networks. Front Inform Technol Electron Eng, 19(8):999-1012.doi: 10.1631/FITEE.1700598http://doi.org/10.1631/FITEE.1700598

Cheng XZ, Shu HN, Liang QL, et al., 2008. Silent positioning in underwater acoustic sensor networks. IEEE Trans Veh Technol, 57(3):1756-1766. doi: 10.1109/TVT.2007.912142http://doi.org/10.1109/TVT.2007.912142

Doǧançay K, Hashemi-Sakhtsari A, 2005. Target tracking by time difference of arrival using recursive smoothing. Signal Processing, 85(4):667-679. doi: 10.1016/j.sigpro.2004.11.007http://doi.org/10.1016/j.sigpro.2004.11.007

Erol-Kantarci M, Mouftah HT, Oktug S, 2011. A survey of architectures and localization techniques for underwater acoustic sensor networks. IEEE Commun Surv Tutor, 13(3):487-502. doi: 10.1109/SURV.2011.020211.00035http://doi.org/10.1109/SURV.2011.020211.00035

Fan GY, Chen HF, Xie L, et al., 2011. Funneling media access control (MAC) protocol for underwater acoustic sensor networks. J Zhejiang Univ Sci C (Comput & Electron), 12(11):932-941.doi: 10.1631/JZUS.C1000388http://doi.org/10.1631/JZUS.C1000388

Ferguson BG, Lo KW, Thuraisingham RA, 2005. Sensor position estimation and source ranging in a shallow water environment. IEEE J Ocean Eng, 30(2):327-337. doi: 10.1109/JOE.2004.838064http://doi.org/10.1109/JOE.2004.838064

Han GJ, Jiang JF, Shu L, et al., 2012. Localization algorithms of underwater wireless sensor networks: a survey. Sensors, 12(2):2026-2061. doi: 10.3390/s120202026http://doi.org/10.3390/s120202026

Ho KC, Xu WW, 2004. An accurate algebraic solution for moving source location using TDOA and FDOA measurements. IEEE Trans Signal Processing, 52(9):2453-2463. doi: 10.1109/TSP.2004.831921http://doi.org/10.1109/TSP.2004.831921

Ho KC, Lu XN, Kovavisaruch L, 2007. Source localization using TDOA and FDOA measurements in the presence of receiver location errors: analysis and solution. IEEE Trans Signal Processing, 55(2):684-696. doi: 10.1109/TSP.2006.885744http://doi.org/10.1109/TSP.2006.885744

Huang H, Zheng YR, 2018. Node localization with AoA assistance in multi-hop underwater sensor networks. Ad Hoc Netw, 78:32-41. doi: 10.1016/j.adhoc.2018.05.005http://doi.org/10.1016/j.adhoc.2018.05.005

Jia TY, Ho KC, Wang HY, et al., 2019. Effect of sensor motion on time delay and Doppler shift localization: analysis and solution. IEEE Trans Signal Processing, 67(22):5881-5895. doi: 10.1109/TSP.2019.2946025http://doi.org/10.1109/TSP.2019.2946025

Jiang F, Zhang ZK, Najafabadi HE, et al., 2020. Underwater TDOA/FDOA joint localisation method based on cross-ambiguity function. IET Radar Sonar Navig, 14(8):1256-1266.doi: 10.1049/iet-rsn.2020.0003http://doi.org/10.1049/iet-rsn.2020.0003

Kong JJ, Cui JH, Wu DP, et al., 2005. Building underwater ad-hoc networks and sensor networks for large scale real-time aquatic applications. Processing IEEE Military Communications Conf, p.1535-1541. doi: 10.1109/milcom.2005.1605894http://doi.org/10.1109/milcom.2005.1605894

Li B, Xu YX, Fan SS, et al., 2018. Underwater docking of an under-actuated autonomous underwater vehicle: system design and control implementation. Front Inform Technol Electron Eng, 19(8):1024-1041. doi: 10.1631/FITEE.1700382http://doi.org/10.1631/FITEE.1700382

Liang QL, Zhang BJ, Zhao CL, et al., 2013. TDoA for passive localization: underwater versus terrestrial environment. IEEE Trans Parall Distrib Syst, 24(10):2100-2108. doi: 10.1109/TPDS.2012.310http://doi.org/10.1109/TPDS.2012.310

Luo JL, Han Y, Fan LY, 2018. Underwater acoustic target tracking: a review. Sensors, 18(1):112. doi: 10.3390/s18010112http://doi.org/10.3390/s18010112

Pompili D, Akyildiz IF, 2009. Overview of networking protocols for underwater wireless communications. IEEE Commun Mag, 47(1):97-102. doi: 10.1109/MCOM.2009.4752684http://doi.org/10.1109/MCOM.2009.4752684

Ramezani H, Jamali-Rad H, Leus G, 2013. Target localization and tracking for an isogradient sound speed profile. IEEE Trans Signal Processing, 61(6):1434-1446. doi: 10.1109/TSP.2012.2235432http://doi.org/10.1109/TSP.2012.2235432

Shirley JW, 1951. An early experimental determination of Snell's law. Am J Phys, 19(9):507-508. doi: 10.1119/1.1933068http://doi.org/10.1119/1.1933068

Sun YL, Yuan YZ, Xu QM, et al., 2019. A mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks. Sensors, 19(20):4369. doi: 10.3390/s19204369http://doi.org/10.3390/s19204369

Tan HP, Diamant R, Seah WKG, 2011. A survey of techniques and challenges in underwater localization. Ocean Eng, 38(14-15):1663-1676. doi: 10.1016/j.oceaneng.2011.07.017http://doi.org/10.1016/j.oceaneng.2011.07.017

Vankayalapati N, Kay S, Ding Q, 2014. TDOA based direct positioning maximum likelihood estimator and the Cramer-Rao bound. IEEE Trans Aerosp Electron Syst, 50(3):1616-1635. doi: 10.1109/TAES.2013.110499http://doi.org/10.1109/TAES.2013.110499

Vincent H, Hu SLJ, 1997. Geodetic position estimation of underwater acoustic sensors. J Acoust Soc Am, 102(5):3099-3100. doi: 10.1121/1.420498http://doi.org/10.1121/1.420498

Zhan DZ, Zhao HF, Xu W, 2014. Non-linear processing based on dolphin inspired real LFM signals for enhanced delay-Doppler resolution. OCEANS, p.1-7. doi: 10.1109/oceans-taipei.2014.6964562http://doi.org/10.1109/oceans-taipei.2014.6964562

Zhang BB, Hu YC, Wang HY, et al., 2018. Underwater source localization using TDOA and FDOA measurements with unknown propagation speed and sensor parameter errors. IEEE Access, 6:36645-36661. doi: 10.1109/ACCESS.2018.2852636http://doi.org/10.1109/ACCESS.2018.2852636

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