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Discrimination method To track before detect based on Dynamic Programming

  • Wen Guang Wang*
  • , Jin Ping Sun
  • , Yu Jie Li
  • , Xiao Yang Su
  • , Zhao Yang Qiu
  • *Corresponding author for this work
  • Beihang University
  • Radar and Avionics Institute of AVIC

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

Abstract

The TBD algorithm based on Dynamic Programming is an effective method for detecting dim target. But the DP process during the multi-frame integration causes the expansion of targets and strong noise which may produce a large amount of false targets. To reduce them, a new discrimination method which takes advantage of the feature of trajectory is proposed in this paper. The false alarm caused by noise reveals strong randomicity on its trajectory which is different from that caused by true target, and the new method based on the statistics of different level direction histogram can be used to reduce false targets caused by noise. Moreover a new concatenated discrimination scheme of SDH+LEV is proposed. The simulation indicates that the discrimination method of SDH is good for reducing false alarms caused by noise and preserving real targets at the same time. The concatenated discrimination scheme can delete false alarms caused by noise effectively.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages2306-2309
Number of pages4
DOIs
StatePublished - 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Statistics of direction histogram
  • Target discrimination
  • Target expansion
  • Track before detect

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