High maneuvering target tracking ATPM-IMM algorithm

Hao ZENG; Wangqiang MU; Shunping YANG

doi:10.11959/j.issn.1000-436x.2022135

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High maneuvering target tracking ATPM-IMM algorithm

Papers | 更新时间：2024-06-05

- High maneuvering target tracking ATPM-IMM algorithm
- Journal on Communications Vol. 43, Issue 7, Pages: 93-101(2022)
- 作者机构：
  
  1. 重庆大学微电子与通信工程学院，重庆 400044
  2. 西南电子技术研究所，四川成都 610036
- 作者简介：
- 基金信息：
  
  National Defense Pre-Research Foundation of China during the “14th Five-Year Plan”(629010204)
- DOI：10.11959/j.issn.1000-436x.2022135
  CLC： TN953
- Online First：2022-06，
  
  Published：25 July 2022
- 稿件说明：
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Hao ZENG, Wangqiang MU, Shunping YANG. High maneuvering target tracking ATPM-IMM algorithm[J]. Journal on Communications, 2022, 43(7): 93-101.
DOI：

Hao ZENG, Wangqiang MU, Shunping YANG. High maneuvering target tracking ATPM-IMM algorithm[J]. Journal on Communications, 2022, 43(7): 93-101. DOI： 10.11959/j.issn.1000-436x.2022135.

摘要

在高机动目标跟踪中，针对标准交互式多模型算法使用固定的转移概率矩阵导致跟踪精度下降的问题，提出了一种转移概率矩阵具备自适应更新的高机动目标跟踪 ATPM-IMM 算法。所提算法对模型后验概率和转移概率矩阵的先验信息要求不高，既适用于高机动目标跟踪，也适用于弱机动目标跟踪。仿真结果表明，所提算法的滤波精度比现有算法提升了约11%。

Abstract

For high maneuvering target tracking

the accuracy of tracking will degrade in common IMM algorithm due to the fixed transition probability matrix.Therefore

a new ATPM-IMM algorithm for high maneuvering target tracking was proposed

which could update the transition probability matrix adaptively.The proposed algorithm requires less prior information of model posterior probability and transition probability matrix

it is suitable for both high and weak maneuvering target tracking.Simulation results demonstrate that the filtering accuracy of the proposed algorithm is improved about 11% compared with the existing algorithms.

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references

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