Performance analysis of multidimensional clutter map CFAR

Tao Shan*, Ran Tao, Yue Wang, Siyong Zhou

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-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
Pages2128-2131
Number of pages4
Publication statusPublished - 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: 31 Aug 20044 Sept 2004

Conference

Conference2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

Keywords

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

Fingerprint

Dive into the research topics of 'Performance analysis of multidimensional clutter map CFAR'. Together they form a unique fingerprint.

Cite this