A novel clutter suppression technique in pulse radar exploiting adaptive filter

Yuan Feng, Yuanyuan Cui, Yinkai Liu

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

2 Citations (Scopus)

Abstract

Clutter suppression is essential to radar signal processing,but it still suffers from some severe problems which need to be discussed in this paper. The moving target indication (MTI) is a commonly used approach in clutter cancellation, and is very effective when radar detecting moving targets in clutter interference environment. However, the wide notch developed by MTI filter result in significant signal losses for low-velocity targets, and thereby, brings serious negative impact in the detection of these targets. In order to solve this problem, a fast block normalized least mean square (FBNLMS) method for pulse radar is proposed in this paper, and it not only can suppress the interference but also protect the energy of low-velocity target. A multichannel fast block NLMS (MC-FBNLMS) algorithm is also developed to suppress the moving clutter which has non-zero Doppler frequency and spread Doppler spectrum. The effectiveness of the proposed approaches has been verified by experimental analysis.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Signal Processing Systems, ICSPS 2016
PublisherAssociation for Computing Machinery
Pages165-169
Number of pages5
ISBN (Electronic)9781450347907
DOIs
Publication statusPublished - 21 Nov 2016
Event8th International Conference on Signal Processing Systems, ICSPS 2016 - Auckland, New Zealand
Duration: 21 Nov 201624 Nov 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Signal Processing Systems, ICSPS 2016
Country/TerritoryNew Zealand
CityAuckland
Period21/11/1624/11/16

Keywords

  • Adaptive filter
  • Clutter suppression
  • Fast block normalized least mean square (FBNLMS)
  • Low-velocity target
  • Pulse radar

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