传感器位置误差下TDOA-DOA水下目标被动定位算法  

TDOA-DOA underwater target passive localization algorithmwith sensor position errors

作　　者：唐强 邵高平[1] 孙明磊 邵帅 TANG Qiang;SHAO Gaoping;SUN Minglei;SHAO Shuai(School of Information System Engineering,Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学信息系统工程学院,河南郑州450001

出　　处：《系统工程与电子技术》2024年第8期2572-2580,共9页Systems Engineering and Electronics

摘　　要：针对水下目标被动定位中传感器位置误差带来的定位精度不高的问题,提出了一种基于两步最小二乘的到达时间差波达方向(time difference of arrival-direction of arrival,TDOA-DOA)目标定位算法。首先,构建TDOA-DOA理想化无误差模型,并利用最小二乘算法对目标位置进行粗估计。其次,考虑测量误差和传感器位置误差,构建目标定位误差和传感器位置的联合方程,并利用加权最小二乘求解。最后,利用目标定位误差对目标位置粗估计值进行修正,得到更精确的定位结果。仿真实验表明,所提算法可对目标位置和传感器位置进行联合估计,相较于已有算法具有更高的定位精度,更适用于传感器位置存在误差情况下的水下目标定位。To address the problem of poor localization accuracy due to sensor position error in passive localization of underwater target,a two-step least squares(LS)based time difference of arrival-direction of arrival(TDOA-DOA)target localization algorithm is proposed.Firstly,an idealized error-free model of TDOA-DOA is constructed,and the target position is coarsely estimated through the LS algorithm.Secondly,the joint equation of target positioning error and sensor position is constructed with the measurement error and the sensor position error,and weighted LS algorithm is employed to solve the equations.Finally,the coarse estimation of the target position is corrected to obtain a more accurate localization result using target positioning error.Simulation results show that the proposed algorithm can jointly estimate both of the target position and the sensor position.Compared with the existing algorithms,the proposed algorithm has higher localization accuracy,and is more suitable for underwater target localization in the presence of sensor position errors.

关 键 词：水下目标被动定位 传感器位置误差 到达时间差 波达方向 

分 类 号：TN911.7[电子电信—通信与信息系统]