Long-time coherent integration for radar target detection base on Radon-Fourier transform

Jia Xu*, Ji Yu, Ying Ning Peng, Xiang Gen Xia

*Corresponding author for this work

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

19 Citations (Scopus)

Abstract

Based on the internal coupling relationship among radial velocity, range-walk and Doppler frequency of moving target's echoes, this paper proposes a novel method, i.e., Radon-Fourier transform (RFT), to realize the long-time coherent integration for radar target detection. The RFT realizes the echoes spatial-temporal decoupling via joint searching along range and velocity directions, as well as the successive coherent integration via the Doppler filter bank. Besides, it is shown that RFT is a kind of generalized Doppler filter bank processing for targets with across range unit (ARU) range walk. Finally, numerical experiments are provided to demonstrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2010 IEEE Radar Conference
Subtitle of host publicationGlobal Innovation in Radar, RADAR 2010 - Proceedings
Pages432-436
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE International Radar Conference 2010, RADAR 2010 - Washington DC, United States
Duration: 10 May 201014 May 2010

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

ConferenceIEEE International Radar Conference 2010, RADAR 2010
Country/TerritoryUnited States
CityWashington DC
Period10/05/1014/05/10

Keywords

  • Across range unit (ARU)
  • Doppler filter bank
  • Long-time coherent integration
  • Radar target detection
  • Radon-Fourier transform (RFT)

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Xu, J., Yu, J., Peng, Y. N., & Xia, X. G. (2010). Long-time coherent integration for radar target detection base on Radon-Fourier transform. In 2010 IEEE Radar Conference: Global Innovation in Radar, RADAR 2010 - Proceedings (pp. 432-436). Article 5494581 (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2010.5494581