慢速目标仅测角无源定位算法研究

摘要

In order to solve the problem of locating accuracy of slow moving target in anti radiation mis-sile(ARM),the localization model based on slow moving target is built in this paper.Then the Cramer-Rao lower bound(CRLB)of stationary target is derived.Under the condition of bearing-only measurement,the unobserved problem of moving emitter illumination can be expressed as a modeling error by a fixed observer, thus the bearing-only location of slow moving target is realized.Aming at low position accuracy and initializa-tion dependence of localization model in translational EKF algorithm,a range-angle grid based filter(RA-GBF)algorithm based on distance-angle is proposed.The computational complexity is greatly reduced and the geolocation performance is much better than that of the EKF algorithm.Simulation results verify the va-lidity of the new approach.%为解决反辐射导弹对慢速运动目标定位精度的难点问题，建立了慢速目标的定位模型，推导了静止目标定位误差的克拉美罗下限（CRLB）。将仅测角条件下无机动单站对运动辐射源的不可观测问题转化为模型误差问题，从而实现对慢速目标仅测角无源定位。针对传统扩展卡尔曼滤波（EKF）算法定位精度低，过于依赖初始化条件的缺点，提出了基于距离角度划分的网格搜索法（RA-GBF）。该方法在降低传统的 GBF方法的计算量同时，定位性能优于 EKF算法。仿真实验证明了方法的有效性。