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An improved fast viterbi algorithm for track-before-detect

  • Ning Zhang*
  • , Song Hao
  • , Yang Li
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper addresses the problem of moving dim target detection in radar systems using track-before-detect approaches (TBD), which are implemented by a fast Viterbi algorithm (FVA). Traditional Viterbi algorithms (VA) traverse all the resolution cells including many noise cells in every frame, whereas FVA improves the searching method by combining with a Constant False Alarm Rate (CFAR) approach to expel many noise cells, and provides the same performance with much less computational cost. What's more, it avoids target extend with no post-processing due to a novel maximization operation, and consequently reduces the complexity of the proposed algorithm. Simulation results prove the performance of the new algorithm.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Pages3125-3128
Number of pages4
DOIs
StatePublished - 2010
Event2010 3rd International Congress on Image and Signal Processing, CISP 2010 - Yantai, China
Duration: 16 Oct 201018 Oct 2010

Publication series

NameProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Volume7

Conference

Conference2010 3rd International Congress on Image and Signal Processing, CISP 2010
Country/TerritoryChina
CityYantai
Period16/10/1018/10/10

Keywords

  • Computational cost
  • Fast Viterbi algorithm
  • TBD
  • Target detection
  • Target extend

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