Genetic interacting multiple model algorithm based on H∞ filter for maneuvering target tracking

被引：0
作者：
Haiping Ma
Xieyong Ruan
Zhangxin Pan
机构：
[1] Shaoxing University,Department of Physics and Electrical Engineering
来源：
International Journal of Control, Automation and Systems | 2011年 / 9卷
关键词：
Genetic algorithm; filter; interacting multiple model; maneuvering target tracking;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In order to have a good performance for maneuvering target tracking, a genetic interacting multiple model (GIMM) algorithm based on the H∞ filter is proposed in this paper. It introduces the H∞ filter as model-conditional filter, which keeps its robustness by constantly adjusting parameters, to improve the performance and the precision. Meanwhile, it optimizes model probabilities using the genetic algorithm (GA), chooses sub-models which are close to true models from a set of models, adjusts the number of models and parameters in real-time, reduces excessive competition, and improves the performance of the algorithm. The simulation results indicate that, the algorithm has higher tracking accuracy and stronger robustness than the standard IMM algorithm.
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页码：125 / 131
页数：6
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