基于一种改进滤波算法的双天线单站无源定位技术研究

Passive Location Based on an Improved Filter with Only Two Antennas

研究移动单站利用双天线对固定辐射源进行无源定位的技术。首先介绍联合相位差变化率、多普勒频率变化率和角度信息测距原理,考虑到双天线测角精度较低,提出一种观测域平方根稀疏网格积分卡尔曼滤波器(MSSRSGQKF)。这种滤波算法收敛速度快、精度高,并通过稀疏网格取点降低了算法计算量。仿真对比了基于MSSRSGQKF的定位方法与扇形网格搜索定位方法及粒子滤波定位方法的性能,证明基于MSSRSGQKF的定位算法收敛速度更快,收敛精度更高,计算量较小,整体性能更优。

This paper studies the passive location method of single mobile observer for fixed target with only two antennas. Firstly, the ranging principle based on phase difference change rate, Doppler frequency change rate and angle of arrival （AOA） is introduced. Because of the low precision of AOA, an improved filtering algorithm called MSSRSGQKF （Measure Space Square Root Sparse-Grid Quadrature Kalman Filter） is proposed. This method has an acceptable computation by applying Sparse-Grid principle. The simulation results show that, compared with the sector scanning location method and Particle Filter （PF） location method, the location method based on MSSRSGQKF has better performances on location precision, convergence speed and reliability.