基于ML-PDA算法的低可见目标跟踪研究  

Research on Tracking Low Observable Targets Based on ML-PDA Algorithm

作　　者：齐立峰[1] 惠小平[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《弹箭与制导学报》2014年第1期27-32,共6页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：针对利用传统算法难以跟踪低空目标的问题,提出了一种可行的跟踪低空目标的最大似然-概率数据关联(ML-PDA)算法。在分析各种低空目标特性的基础上,首先建立了基于ML-PDA滤波算法的低空目标跟踪模型,然后对该模型进行了深入分析,最后通过计算机仿真对该模型进行了验证。结果表明:ML-PDA滤波算法对低空目标跟踪十分有效,并且提高了滤波实时性,具有较好的工程应用前景。In view of existing problems in traditional algorithm applied in tracking low observable targets, a feasible ML-PDA algorithm was proposed. On the basis of characteristic analysis of low-attitude target, firstly, the tracking for low observable targets was built based on ML-PDA algorithm. Then,this model was analyzed deeply and finally this model was validated through computer simulation. The simulation results show that ML-PDA algorithm is effective on trackig low-attitude observable targets, the method has a good prospect in engineering ap- plication.

关 键 词：低可见目标 目标跟踪 最大似然估计 概率数据关联 

分 类 号：TN953[电子电信—信号与信息处理]