基于质量中心算法的两种点迹凝聚算法  

Two Algorithms of Plots Centroid Based on Mass Center

作　　者：简涛[1] 徐向东[2] 张莉[2] 韩正国[1] 

机构地区：[1]空军雷达学院研究生管理大队,武汉430019 [2]空军雷达学院空天基预警监视装备系,武汉430019

出　　处：《空军雷达学院学报》2009年第1期20-21,25,共3页Journal of Air Force Radar Academy

摘　　要：为了提高雷达提取目标点迹方位的精度,针对传统的点迹凝聚算法存在的不使用点迹的幅度信息或过分的相信每个点迹幅度信息的问题,提出了幅度加权凝聚算法和幅度排序凝聚算法,使点迹群中有少量强杂波或大量弱杂波参入的情况下,也可以有很好的凝聚效果.仿真表明了这两种方法的有效性.To enhance the precision of target plot azimuth extracted by radars, such two algorithms as amplitude weighting and amplitude sequencing centroid algorithms were proposed, aimed at the traditional plots centroid not using the amplitude information or over-using it. By using the proposed methods the better centroid effect can be obtained even under the circumstances of a bit of strong clutter or a large amount of weak clutter. By simulations it shows that the two improved algorithms are of effectiveness.

关 键 词：点迹凝聚 幅度加权 幅度排序 

分 类 号：TN957[电子电信—信号与信息处理]