水声传感器网络信号到达时间差目标定位的最小二乘法估计性能  

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

作　　者：王领 申晓红[1] 康玉柱 花飞[1] 王海燕[1,2] WANG Ling;SHEN Xiaohong;KANG Yuzhu;HUA Fei;WANG Haiyan(School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China;School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China)

机构地区：[1]西北工业大学航海学院,陕西西安710072 [2]陕西科技大学电子信息与人工智能学院,陕西西安710021

出　　处：《兵工学报》2020年第3期542-551,共10页Acta Armamentarii

基　　金：国家自然科学基金项目(61671386);国家重点研发计划项目(2016YFC1400204)。

摘　　要：为解决水声传感器网络中测量误差和传感器节点位置误差同时存在时的目标定位问题,提出一种双误差模型下基于加权整体最小二乘方法。建立双误差条件下的信号到达时间差目标定位模型,采用加权整体最小二乘法对该模型进行求解,并推导权值的表达式。所提算法模型与实际符合性更好,且利用了测量误差方差和传感器节点位置误差方差的先验信息,以迭代方法得到最终的目标位置估计值。在模拟测量误差和传感器节点位置误差同时存在情况下对该方法进行仿真与水池试验验证,结果表明所提基于加权整体最小二乘的目标定位方法具有良好的定位性能。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.

关 键 词：水声传感器网络 目标定位 信号到达时间差 加权整体最小二乘法 CHAN算法 估计性能 

分 类 号：TN929.3[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]