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检索号：20094412406475
网址：http://www.engineeringvillage2.org/controller/servlet/Controller?SEARCHID=180cb01125bd20aaabMc8dprod3data2&CID=quickSearchDetailedFormat&DOCINDEX=1&database=1&format=quickSearchDetailedFormat

Accession number: 20094412406475

Title: Research to a multitarget tracking algorithm based on viterbi in high-density clutter

Authors: Wang, H.P.1 ; Xiong, W.1 ; He, Y.1

Author affiliation: 1 Deptartment of Electronic and Informantion Engineering, Navy Aeronautical and Astronautical University (NAAU), Yantai, China

Corresponding author: Wang, H. P. (armystudent@sohu.com)

Source title: IET Conference Publications

Abbreviated source title: IET Conf Publ

Issue: 551 CP

Monograph title: IET International Radar Conference 2009

Issue date: 2009

Publication year: 2009

Language: English

ISBN-13: 9781849190107

Document type: Conference article (CA)

Conference name: IET International Radar Conference 2009

Conference date: April 20, 2009 - April 22, 2009

Conference location: Guilin, China

Conference code: 77648

Publisher: Institution of Engineering and Technology, Six Hills Way, Stevenage, SG1 2AY, United Kingdom

Abstract: Aiming at solving the problem of multitarget tracking in high-density clutter better, based on viterbi algorithm, a new multitarget tracking algorithm in high-density clutter, which is joint viterbi data association algorithm (JVDA), is proposed with the injection of the conception of data association into the original frame of viterbi. The performance comparison among JVDA, JPDA and three simplified algorithms of JPDA is presented in detail. The simulation results show that JVDA can remedy the disadvantages of JPDA and three simplified algorithms of JPDA.Both the tracking performance and the real time performance of JVDA is better than that of JPDA and three simplified algorithms of JPDA. What is more, compared with JPDA and three simplified algorithms of JPDA, the error tracking ratio of JVDA is reduced more than 10%. JVDA can solve the problem of multitarget tracking in high-density clutter better.

Number of references: 16

Main heading: Viterbi algorithm

Controlled terms: Clutter (information theory) - Radar - Signal filtering and prediction

Uncontrolled terms: Data association - Data association algorithms - Error tracking - High-density - High-density clutter - Multi-target tracking - Multitarget - Multitarget tracking algorithms - Performance analysis - Performance comparison - Real time performance - Simplified algorithms - Simulation result - Tracking performance - Viterbi

Classification code: 922.1 Probability Theory - 903.1 Information Sources and Analysis - 731.1 Control Systems - 723.1 Computer Programming - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 716.2 Radar Systems and Equipment - 716.1 Information Theory and Signal Processing

DOI: 10.1049/cp.2009.0326

Database: Compendex