基于结构总体最小二乘的多传感器定位算法  

Multi-sensor Location Algorithm Based on Structured Total Least Squared Method

作　　者：雷雨[1] 冯新喜[1] 潘海峰 朱灿彬 

机构地区：[1]空军工程大学电讯工程学院 [2]95971部队 [3]95986部队

出　　处：《系统仿真学报》2013年第4期668-673,共6页Journal of System Simulation

基　　金：国家自然科学基金(60971100)

摘　　要：多部二维传感器组网定位时,为充分利用各传感器量测并减小地球曲率对观测的影响,建立了大场景下考虑地球曲率的三维空间观测定位模型,提出了此场景下融合测距信息的方位结构总体最小二乘定位算法。该算法首先根据各传感器的方位角量测信息使用结构最小二乘法初步定位,然后利用观测模型融合各传感器的距离量测提高定位精度并最终得到目标位置估计。仿真实验证明了该方法在多部2D传感器组网情况下对三维空间内目标定位的实际性和有效性,适用于工程利用。The problems of estimation and accuracy for target location in 2D sensor network with multisensors were investigated. In order to make full use of the measurements from all the observations and reduce the influence of the Earth curvature on the measurement, an observation location model in 3D space was established for multi-sensor network, and a fusion location algorithm based on Structured Total Least Squared method was proposed. Firstly, a preliminary location was decided by Structured Total Least Squared method with bearing-only measurements form each sensor. The range measurements were fused by the proposed observation model to improve the location accuracy and the final location estimation for the target was fixed on. The efficiency and superiority of the proposed location algorithm for the target in 3D space can be confirmed by simulation results.

关 键 词：多传感器组网 目标三维定位 融合 结构总体最小二乘 

分 类 号：TN953.7[电子电信—信号与信息处理] TN959.6[电子电信—信息与通信工程]