基于最大似然航向估计的MPDA算法  

A Multipath Probabilistic Data Association Algorithm Based on Maximum Likelihood Estimation of Azimuth

作　　者：马文楠 高火涛[1] 王德章[1] 曹婷[1] 

机构地区：[1]武汉大学电子信息学院,武汉430072

出　　处：《现代雷达》2015年第4期31-34,共4页Modern Radar

基　　金：国家自然科学基金资助项目(6067201)

摘　　要：在天波超视距雷达的数据处理算法中,多径概率数据互联(MPDA)算法应用在杂波密集环境下,虚假航迹数量多,计算量大。针对以上问题,文中给出了一种改进的多径概率数据互联算法,从航向可以有效反映目标运动方向性和平稳性的角度出发,将航向作为跟踪波门检测过程中的重要判断依据,并且使用最大似然法确保航向估计的准确性,达到减少虚假航迹、限制概率数据互联部分计算量的目的。文中在杂波密集的环境下,使用简化的电离层模型对算法进行了仿真,仿真结果表明,相比于标准MPDA算法,引入了航向估计的算法能够有效减少虚假航迹数量,提高计算速度。Among data processing algorithms of the sky wave over-the-horizon radar, multipath probabilistic data association （ MPDA） algorithm generates a lot of false tracks and has large calculating works when applied in the environment with intensive clutters. A modified MPDA algorithm is presented in this paper in the light of problems mentioned above. From the perspective that it reflects the directionality and stability of goal＇ s movement, azimuth is an important judgmental basis during detection of tracking gate. And the maximum likelihood estimate method is used in the estimation of azimuth to ensure the exactitude. So the modified algorithm can reduce false tracks＇ occurrence and limit calculating works from data association part, by introducing parameter azimuth. The simulation is based on the environment with intensive clutters and a simplified model of ionosphere. Final results show that, compared with standard MPDA algorithm, the modified algorithm with estimation of azimuth reduces the number of false tracking effectively, improves computing speed as well.

关 键 词：天波超视距雷达 多径概率数据互联 航向估计 

分 类 号：TN957.52[电子电信—信号与信息处理]