基于总体最小二乘法和卡尔曼滤波的无源定位算法仿真

Simulation of Bearings-only Passive Target Localization Based on TLS and Kalman Filter

摘要:

研究了存在系统误差时单站纯方位角无源定位系统的定位问题,分别在系统误差为常值和时变值时研究了TLS-KF算法的性能,并通过估计系统误差是否存在,给出了一种选择最优定位算法的判决方法。该问题的研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能,具有一定的理论意义和实际意义。

Abstract:

The single station bearing-only passive target localization was studied when system bias was existent. The performance of TLS-KF was studied vias simulations in the cases that the system bias was a constant and time variant respectively. In order to choose the optimum localization algorithm, a criterion was given to estimate whether the system bias was existent. The study of this paper is helpful in practical target localization.