文中研究了在存在有色量测噪声情况下的纯方位角单站无源定位问题，给出了一种新的基于总体最小二乘和强跟踪滤波器（TLS-STK）方法的无源定位滤波算法。该算法首先利用总体最小二乘算法进行无源定位，得到初步的目标位置和速度信息，再用这些信息来初始化强跟踪滤波器，最后运用强跟踪滤波器对后续测得的带有色噪声的方位角度值进行滤波，得到高精度的目标定位结果。经过仿真对比实验验证，该算法可较为有效地抑制色噪声的干扰，并具有定位精度高、收敛速度快的特点，能够较好地满足工程实际的应用要求。

The single station bearings-only passive target location problem is studied in this paper in the case of existing colored observation noise, and a new algorithm based on total least squares and strong tracking filter is presented．The algorithm firstly utilizes the total least squares passive target localization method to estimate the primary position and velocity information, then uses this information to initialize the strong tracking filter, finally through filtering the azimuth angle, which takes colored observation noise, to get high precision location information of the target. Simulation results show that the algorithm can restrain the disturbance of colored noise in a certain extent, it also has fast convergence rate and high location accuracy. It is preferable for practical engineering application.

TN971