Multiple Model Tracking Algorithm Based on Adaptive Fuzzy Logic

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Multiple Model Tracking Algorithm Based on Adaptive Fuzzy Logic

Article | 更新时间：2020-08-12

- Multiple Model Tracking Algorithm Based on Adaptive Fuzzy Logic
- Optics and Precision Engineering Vol. 17, Issue 4, Pages: 867-873(2009)
- 作者机构：
  
  南京航空航天大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：28 March 2008，
  
  Revised：22 June 2008，
  
  Published Online：25 April 2009，
  
  Published：25 April 2009
- 稿件说明：
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陈谋. 基于自适应模糊逻辑的多模型跟踪算法[J]. 光学精密工程, 2009,17(4):867-873

Multiple Model Tracking Algorithm Based on Adaptive Fuzzy Logic[J]. Optics and precision engineering, 2009, 17(4): 867-873.
陈谋. 基于自适应模糊逻辑的多模型跟踪算法[J]. 光学精密工程, 2009,17(4):867-873 DOI：

Multiple Model Tracking Algorithm Based on Adaptive Fuzzy Logic[J]. Optics and precision engineering, 2009, 17(4): 867-873. DOI：

摘要

针对基于“当前”统计模型的交互式多模型算法，难以恰当地确定当前模型的概率以及系统参数和在跟踪过程中不能自适应调整的缺点，采用自适应模糊推理的方法进行改进以提高跟踪的快速性。同时应用蚁群算法对设计参数进行优化，以提高跟踪的精度。最后将所设计的基于“当前”统计模型的多模型改进算法用于机动目标的跟踪仿真，仿真结果表明所设计的改进算法是有效的。

Abstract

The current model probability of interacting multiple model (IMM) algorithm based on current statistical model is difficultly decided

and the system parameter and can not be adaptive adjusted. So a modified IMM algorithm based on current statistical model is presented via adaptive fuzzy logic for improving the tracking speed. The design parameters of the modified algorithm are optimized with ant algorithm for improving the tracking precision. Finally

to demonstrate the availability of the modified IMM tracking algorithm based on current statistical model

a simulation example is given. The simulation results suggest the modified algorithm is valid.

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