纯方位目标运动分析的自适应衰减记忆滤波算法  

Algorithm of Adaptive Memory Attenuated Filter in Bearings-Only Target Motion Analysis

作　　者：刘健[1] 刘忠[1] 曲毅[1] 

机构地区：[1]海军工程大学电子工程学院,湖北武汉430033

出　　处：《中国海洋大学学报（自然科学版）》2006年第4期551-554,共4页Periodical of Ocean University of China

基　　金：装备部预研项目(413040201)资助

摘　　要：为减小纯方位目标运动分析问题中由于运用扩展卡尔曼滤波所带来的线性化误差对解算精度的影响,提出了自适应衰减记忆扩展卡尔曼滤波算法。利用新息序列的概率分布特性,引入了自适应水平的概念,并研究了滤波中衰减因子的自适应问题,在此基础上构造了衰减因子的最佳自适应选取方法。对比仿真分析表明,新算法较原有算法滤波效果有所改善,增强了稳定性,提高了精度。In the process of parameter-solving in BO-TMA, in order to reduce the influence caused by linearization with EKF, a new AMAEKF algorithm is proposed. The concep of adaptive level is introduced into the algorithm by using the probability distributing character of innovation serials. The memory attenuated factor is researched, and the method of optimum selection of the memory attenuated factor is also brought forward. The Monte-Carlo simulation experiment results demonstrate that, compared with the original, the new algorithm is of better performance in both stability and precision.

关 键 词：目标运动分析 扩展卡尔曼滤波 自适应 衰减记忆 

分 类 号：TN911[电子电信—通信与信息系统]