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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。
In this paper, the problem of single azimuth passive location in the presence of colored noise is studied. A new passive localization filtering method based on TLS-STK (Total Least Squares and Strong Tracking Filter) algorithm. The algorithm first uses the global least squares algorithm to carry out passive localization to obtain the initial target position and velocity information, and then uses the information to initialize the strong tracking filter. Finally, the strong tracking filter is applied to the subsequent measurement of the location with colored noise Angle value filtering, get high-precision target positioning results. After simulation and comparison experiments, this algorithm can effectively suppress the interference of colored noise, and has the characteristics of high positioning accuracy and fast convergence speed, which can meet the practical application requirements of the project.