分布式MIMO声纳系统中移动目标的精确定位方法  

Accurate Localization Methods for Mobile Target in Distributed MIMO Sonar Systems

作　　者：王超迪 王赟喆 杨承霖 吴晓平 WANG Chaodi;WANG Yunzhe;YANG Chenglin;WU Xiaoping(School of Information Engineering,Huzhou University,Huzhou Zhejiang 313000,China)

机构地区：[1]湖州师范学院信息工程学院,浙江湖州313000

出　　处：《传感技术学报》2023年第1期22-29,共8页Chinese Journal of Sensors and Actuators

基　　金：浙江省自然科学基金项目(LY22F010016);浙江省现代农业资源智慧管理与应用重点实验室(2020E10017)。

摘　　要：分布式MIMO声纳系统具有空间分集与复用增益的特点,能显著提高目标检测精度。针对分布式MIMO声纳系统中的移动目标定位问题,考虑不同发射机声纳信号到达移动目标上的位置延迟,提出了一种分布式MIMO声纳系统中的移动目标精确定位方法。采用时间延迟与多普勒频移测量相结合的方法,设计了移动目标初始位置以及运动速度的非约束权重最小二乘(UWLS)以及约束权重最小二乘(CWLS)方法。算法的仿真结果表明,UWLS以及CWLS能有效消除位置延迟的影响,减少估计误差。由于利用了约束关系,CWLS方法估计误差仅为UWLS方法的69%左右,并已接近于克拉美罗下界(CRLB)值。Distributed Multiple-Input Multiple-Output(MIMO)sonar systems can significantly improve the accuracy of target detection for its characteristics of spatial diversity and multiplexing gain.For the moving target localization in distributed MIMO sonar systems,an accurate moving target localization method considering the position delay of sonar signals from different transmitters is proposed.Based on the combination of time delay and Doppler frequency shift(DFS)measurement,unconstrained weighted least squares(UWLS)and constrained weighted least squares(CWLS)methods are proposed to estimate the initial position and velocity of moving target.The simulated results show that UWLS and CWLS can efficiently eliminate the influence of position delay and reduce the estimation error.The estimation error of the CWLS is only about 69%of the UWLS,which is close to the Cramer-Rao Lower Bound(CRLB)by availing of the constrained relationships.

关 键 词：MIMO声纳系统 时间延迟 权重最小二乘 定位 

分 类 号：TN929.3[电子电信—通信与信息系统]