Least Squares Estimation Performance for TDOA Target Localization in Underwater Acoustic Sensor Networks

doi:10.3969/j.issn.1000-1093.2020.03.015

Abstract

Abstract: A weighted total least squares method based on double error model is proposed for the target localization in the simultaneous presence of measurement error and sensor node position error in underwater acoustic sensor networks. A TDOA target localization model with double errors is established. The weighted total least squares method is used to solve the proposed model, and the expression of the weights is derived. The proposed algorithm model is to use the prior information of measurement error variance and sensor node position error variance to obtain the final target position estimate by iteration method. The simulation and water tank experimental verification of the proposed method were made by simulating the simultaneous existence of the measurement error and the sensor node positions error. The results show that the proposed target localization method based on weighted total least squares has higher localization performance. Key

Key words: underwateracousticsensornetwork, targetlocalization, timedifferenceofarrival, weightedtotalleastsquaresmethod, Chanalgorithm, estimationperformance

CLC Number:

WANG Ling, SHEN Xiaohong, KANG Yuzhu, HUA Fei, WANG Haiyan. Least Squares Estimation Performance for TDOA Target Localization in Underwater Acoustic Sensor Networks[J]. Acta Armamentarii, 2020, 41(3): 542-551.

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第41卷
第3期2020 年3月兵工学报ACTA
ARMAMENTARIIVol.41No.3Mar.2020

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