基于“当前”统计模型的分段模糊跟踪算法  

A Subsection-Fuzzy Tracking Algorithm for Current Statistical Model

作　　者：张勇[1,2,3] 熊茂涛[2,3] 吴钦章[2] 

机构地区：[1]重庆工商大学,重庆400067 [2]中国科学院光电技术研究所,成都610209 [3]中国科学院研究生院,北京100049

出　　处：《火力与指挥控制》2010年第7期73-76,共4页Fire Control & Command Control

基　　金：中国科学院西部之光博士基金(1188000503);校级青年基金资助项目(0852015)

摘　　要：分析了"当前"统计模型的自适应跟踪特性,界定了其适用机动范围。提出了一种根据目标机动强弱分段调节系统方差,且在各机动段内基于新息变化强度又实时模糊调节方差的自适应跟踪方法。该方法从宏观、局部及微观多层次动态调节系统方差,兼顾了跟踪的快速性和精度。仿真结果表明,在目标机动较强时,首先提高跟踪快速性,使其快速稳定,再着重改善精度;机动较弱时,平稳提升跟踪精度,微调其快速性。该方法取得了较好的跟踪效果。Adaptive tracking traits of ＂current＂ statistical model（CSM） were discussed.The adaptive maneuvering range was established. An improved fuzzy adaptive tracking algorithm was proposed. The system variance was separately adjusted according to the strong or weak maneuvering state, and in each maneuvering state the variance adjusting was further fuzzily carried out base on the residual change. The tracking speediness and precision were improved by this method adjusting the variance in several levels. Simulation tests show, in the strong maneuvering, the tracking stabilization is quickly realized, and subsequently the precision is upgraded, and in the weak maneuvering, the tracking precision is stably raised, and the speediness is minutely changed. The tracking capabilities are effectively improved.

关 键 词：“当前”统计模型 分段模糊调节 新息变化 动态调节 

分 类 号：TP953[自动化与计算机技术]