Passive Radar Tracking of a Maneuvering Target Using Variable Structure Multiple-Model Algorithm

被引：0

作者：

Mao, Yunxiang ^{[1
]}

Zhou, Xiaohui ^{[1
]}

Zhang, Jin ^{[1
]}

机构：

[1] Inst Elect Engn, Hefei, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): ALGORITHMS, PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2013年 / 8784卷

关键词：

passive radar; maneuvering target; tracking; VSMM; LMS; EMA;

D O I：

10.1117/12.2021255

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The variable structure multiple-model (VSMM) algorithm to passive radar maneuvering target tracking problem is considered. A new VSMM design, expected mode augmentation based on likely model set (LMS-EMA) algorithm is presented. The LMS-EMA algorithm adaptively determines the fixed grid model set using likely model set (LMS) algorithm, and generates the expected mode based on this set. Then, the union of fixed grid model set and expected model is used to perform multiple-model estimation. The performance of the LMS-EMA algorithm is evaluated via simulation of a highly maneuvering target tracking problem.

引用

页数：7

共 9 条

[1] THE INTERACTING MULTIPLE MODEL ALGORITHM FOR SYSTEMS WITH MARKOVIAN SWITCHING COEFFICIENTS [J].