Interacting Multiple Model Tracking Algorithm with Modified Input Estimation

SHENG Hu; YANG Jing-shu; ZENG Fang-ling; ZHANG Fan

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Interacting Multiple Model Tracking Algorithm with Modified Input Estimation

更新时间：2025-07-16

- Interacting Multiple Model Tracking Algorithm with Modified Input Estimation
- Acta Electronica Sinica Vol. 37, Issue 12, Pages: 2810-2814(2009)
- 作者机构：
  
  1. 炮兵学院信息工程系,安徽,合肥,230031
  2. 电子工程学院安徽省电子制约技术重点实验室,安徽,合肥,230031
  3. 炮兵学院信息工程系安徽合肥,230031
  4. 电子工程学院安徽省电子制约技术重点实验室安徽合肥,230031
- 作者简介：
- 基金信息：
- DOI：
  CLC： V557+.5
- Published：2009
- 稿件说明：
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SHENG Hu, YANG Jing-shu, ZENG Fang-ling, et al. Interacting Multiple Model Tracking Algorithm with Modified Input Estimation[J]. Acta Electronica Sinica, 2009, 37(12): 2810-2814.
DOI：

SHENG Hu, YANG Jing-shu, ZENG Fang-ling, et al. Interacting Multiple Model Tracking Algorithm with Modified Input Estimation[J]. Acta Electronica Sinica, 2009, 37(12): 2810-2814. DOI：

摘要

本文融合交互多模算法和修正输入估计算法

提出一种新的全面自适应跟踪算法.利用修正新息序列的方法对输入估计(IE:Input Estimation)算法进行了改进

提高了输入估计的性能.综合不同检测窗长度的修正输入估计(MIE:Modified IE)算法的特点

在交互式多模型中采用不同检测窗长度的MIE作为子滤波器

保持对机动的全面自适应跟踪.仿真实验证明

改进算法与CV-CA模型组成的交互多模算法相比

无论对机动的响应速度还是滤波精度都优于交互多模算法.

Abstract

This paper proposed a new overall adaptive algorithm which fuses IMM(Interactive Multiple Model) and IE (Input Estimation) for maneuvering target tracking.The tracking performance of IE is improved significantly through modification of innovation sequence.After analyzing the characteristic of MIE(Modified IE) algorithm

two MIE subfilters with different detection window length are adopted in IMM filter to keep overall self-adaptive tracking of different maneuvering level.Simulation results have revealed better performance characteristics of the proposed algorithm in comparison with traditional IMM which adopts CV-CA models.

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