The CAF-DFRFT-KT algorithm for high-speed target detection in passive radar

Lei Liu*, Ran Tao, Nan Zhang

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

The cross-ambiguity algorithm has been extensively used to detect targets in passive radar. However, this algorithm is affected by range migration and Doppler frequency migration when detecting high-speed and accelerating targets. In this paper, an effective algorithm of compensating the two migrations in passive radar is presented. The presented algorithm combines the fractional Fourier transform and the keystone transform with the cross-ambiguity function algorithm. Based on the cross-ambiguity function, the fractional cross-ambiguity function algorithm is realized by the two-step FFTs, and then the keystone transform is inserted into the two-step FFTs. The presented algorithm can eliminate the effects of range migration and Doppler frequency migration. Simulation results are conducted to demonstrate the validity of the presented algorithm.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011
Pages748-751
Number of pages4
DOIs
Publication statusPublished - 2011
Event1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011 - Beijing, China
Duration: 21 Oct 201123 Oct 2011

Publication series

NameProceedings - 2011 International Conference on Instrumentation, Measurement, Computer, Communication and Control, IMCCC 2011

Conference

Conference1st International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC2011
Country/TerritoryChina
CityBeijing
Period21/10/1123/10/11

Keywords

  • Passive radar
  • fractional Fourier transform
  • high-speed and accelerating target detection
  • keystone transform
  • migration compensation

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