基于逐级最大似然估计的单站无源定位跟踪算法研究  

Analysis of Single Observer Passive Location and Tracking Based on Stepwise Maximum Likelihood

作　　者：龚享铱[1] 

机构地区：[1]南京电子技术研究所,100分箱南京210013

出　　处：《火控雷达技术》2006年第2期1-4,共4页Fire Control Radar Technology

摘　　要：本文以单站无源定位跟踪为研究背景,根据其观测方程严重非线性的情况,在最大似然估计算法的基础上提出了逐级最大似然估计算法。讨论了这种算法的最优性、计算量少的特点,以及初始值的选取对算法收敛性的影响,并通过仿真试验进行了验证。As to the shortcoming of serious non-linearity in the observation equation of single observer passive location and tracking, a new algorithm named as stepwise maximum likelihood （SML） based on maximum likelihood is proposed in this paper. It is demonstrated that this algorithm is an optimum method with low computation. The convergence of EKF and Modified Gain EKF is also discussed with some simulations.

关 键 词：最大似然估计 单站无源定位 扩展卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]