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Performance analysis of multidimensional clutter map CFAR

  • Tao Shan*
  • , Ran Tao
  • , Yue Wang
  • , Siyong Zhou
  • *Corresponding author for this work
  • Beijing Institute of Technology

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

Abstract

It is difficult for radar to detect targets moving slowly on the ground or flying slowly with low altitude. In order to increase the detection probability of weak targets among strong clutter, it is useful to accumulate the echo signal of the target using Doppler information, and the same important is to adopt on effective CFAR procedures. Here a novel multidimensional clutter map CFAR (MDCM-CFAR) algorithm is proposed, compared with the traditional clutter map CFAR (CM-CFAR) and mean level CFAR algorithms, MDCM-CFAR has better detection performance.

Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2128-2131
Number of pages4
ISBN (Print)0780384067
DOIs
Publication statusPublished - 2004
Event7th International Conference on Signal Processing, ICSP 2004 - Beijing, China
Duration: 31 Aug 20044 Sept 2004

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume3
ISSN (Print)2164-5221
ISSN (Electronic)2164-523X

Conference

Conference7th International Conference on Signal Processing, ICSP 2004
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

  • CFAR
  • Clutter map
  • CM-CFAR
  • MDCM-CFAR

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