电光与控制, 2015, 22 (11): 11, 网络出版: 2015-12-18
多站测向交叉定位的加权最大似然估计算法及其精度分析
Algorithm of Weighted Maximum Likelihood Estimation in Multi-station DF Crossing Localization and Its Accuracy Analysis
无源定位 测向 交叉定位 加权最大似然估计 误差分析 passive localization Direction-Finding (DF) crossing localization Weighted Maximum Likelihood Estimation (WMLE) error analysis
摘要
为解决测向交叉定位中测向误差的标准方差受目标区域非均匀环境的影响,提出加权最大似然估计(WMLE)算法。该算法将目标距离引入到MLE算法当中,通过构造加权向量来弥补测向误差的标准方差随目标距离增加而增大的影响。理论分析表明,改进后的WMLE算法可进一步提高多站测向交叉定位系统的定位精度。
Abstract
In Direction-Finding (DF) crossing localization, the standard deviation of DF error is influenced by the nonuniform environment of the target area.To solve the problem, we proposed a Weighted Maximum Likelihood Estimation (WMLE) algorithm.In this algorithm, the effect of the target distance was introduced into Maximum Likelihood Estimation (MLE).A weighted vector was constructed to control and compensate for the standard deviation of the DF error increasing with the target distance.Theoretical analysis showed that the algorithm of WMLE can further improve the accuracy of the multi-station DF crossing localization.
宗军君, 崔逊学. 多站测向交叉定位的加权最大似然估计算法及其精度分析[J]. 电光与控制, 2015, 22(11): 11. ZONG Jun-jun, CUI Xun-xue. Algorithm of Weighted Maximum Likelihood Estimation in Multi-station DF Crossing Localization and Its Accuracy Analysis[J]. Electronics Optics & Control, 2015, 22(11): 11.