摘要
传统的两站交叉定位算法在多辐射源环境下存在虚假定位点无法准确消除、多目标处理能力差、算法自身的缺陷导致的定位盲区无法消除等局限性。提出了一种利用多站测向信息的改进算法,该算法根据各交叉定位点的误差分布设置准则进行测向信息配对并获得真实定位点的初始坐标,再利用线性加权最小二乘估计结合卡尔曼滤波算法进行处理获得辐射源的位置。仿真结果表明,该算法显著改善了多目标处理能力,能够快速、准确地进行测向信息配对,有效消除虚假定位点和定位盲区,并能得到不错的定位精度。
Traditional two direction-finding location algorithms are very restricted in multiple emitters environment. Recognition of ghosts is a very important unsolved problem. An improved method to solve them is proposed. Firstly, the algorithm sets up guidelines based on cross-location error distribution for measuring match to the real points, at the same time coordinates of the initial points have been accessed. Secondly,weighted least squares estimation and Kalman filter are combined to get true locations of the targets. Simulation resuits show that the algorithm significantly improve the multi-target tracking ability. Measuring information can be matched quickly and accurately. Location blind spots can be eliminated easily and better accuracy can be got.
出处
《航天电子对抗》
2008年第4期51-53,57,共4页
Aerospace Electronic Warfare
关键词
测向交叉定位
虚假定位
多站
多目标
dlrection-finding cross-location
false location
multi-station
multi-target
