一种基于CSM的自适应滤波修正算法  

A Modified Adapive Filtering Algorithm Based on Current Statistical Model

作　　者：陈晓峰[1] 嵇成新[2] 陈阳[2] 关锦生[2] 

机构地区：[1]海军指挥学院研究生一队,南京210016 [2]海军大连舰艇学院科研部,辽宁大连116018

出　　处：《现代雷达》2009年第1期42-45,共4页Modern Radar

摘　　要：提出了一种基于"当前"统计模型的加速度方差自适应修正算法,用以解决原自适应算法中存在的跟踪性能对加速度正、负极值am ax和a-m ax的依赖问题。通过理论分析和Monte Carlo仿真试验,修正后算法在跟踪性能和跟踪范围上都优于原自适应算法。A modified acceleration variance adaptive filtering algorithm based on Current Statistical Model（CSM） is presented. The tracking performance dependance on the positive and negative maxmum amax and a-max of the acceleration in the former algorithm is eliminated by the modified algorithm. It is proved that the modified algorithm is better in terms of tracking performance and range than the former algorithm through the theoretical analysis and Monte Carlo simulation.

关 键 词：“当前”统计模型 方差自适应 修正算法 

分 类 号：TN957.51[电子电信—信号与信息处理]