基于加权非线性最小二乘的无源协同定位  

Passive Cooperative Location Based on Weighted Nonlinear Least Squares

作　　者：李思奇[1] LI Siqi(The 10th Research Institute of China Electronics Technology Group Corporation,Chengdu 610036)

机构地区：[1]中国电子科技集团公司第十研究所,成都610036

出　　处：《计算机与数字工程》2018年第5期900-903,共4页Computer & Digital Engineering

基　　金：国家自然科学基金项目"基于大传输时延的水声通信网络协议架构理论与关键技术"(编号:61701130)资助

摘　　要：针对传感器精度差异的融合定位问题,论文提出了一种基于加权非线性最小二乘的无源协同定位方法,结合多个传感器量测值与目标位置量构建加权误差平方和的损失函数,对得到的损失函数利用高斯牛顿下降法的优化准则进行迭代求解,当小于检验统计量阀值时得到目标定位值的优化解。仿真分析结果表明该方法能利用不同方差多量测值融合处理而获得高精度的目标定位值。For sensor precisions are different for multi-sensor fusion location,a passive cooperative location method based on weighted nonlinear least squares is proposed. The loss function of weighted error squares sum,based on the relation between sensor measurement and target position,is constructed. And then,the optimized criterion of Gauss Newton descent is utilized to iteratively solve the loss function. While it is less than checking static value,the final position information of target is gotten. Simulation results show that the method can make use of different covariance measurement to process and attain high precision target location value.

关 键 词：无源协同 目标定位 多传感器融合 加权非线性最小二乘 

分 类 号：TN921[电子电信—通信与信息系统]