基于角度信息的递推最小二乘无源定位算法

Recursion Least-squares Passive Location Algorithm Based on Angle Information

摘要:

针对机载单站无源定位的定位精度和实时性等问题,提出了一种基于角度信息的递推最小二乘(RLS)无源定位算法；首先建立了机载单站三维无源定位模型,求出最小二乘(LS)解；然后依据机载单站无源定位的实时性要求将最小二乘估计转化为递推最小二乘估计的形式；最后通过不同的仿真实验研究了影响定位精度和收敛速度的因素；仿真结果表明:RLS算法与LS算法在定位精度和收敛速度方面性能相似,但RLS算法运算复杂度低,所需存储空间小,能够实时的对目标进行定位,满足机载单站无源定位的需求。

Abstract:

To improve location accuracy and real-time for single observer airborne passive location, a recursion least-squares (RLS) passive location algorithm based on angle information is proposed. Firstly, this paper builds single observer airborne three dimensional passive location model, and obtains least-squares (LS) solution. And then a recursion form is deduced according to real-time requirement of single observer airborne passive location. At last, by simulation experiment to study the different factors, which affect the location accuracy and convergence rate. The simulation results show that:location accuracy and convergence rate between two algorithms are closed, but the RLS algorithm has low operation complexity, small memory space needs, positions target real time, which can achieve the requirement of single observer airborne passive location.