Matched filtering in fractional Fourier domain

Feng Zhang*, Ran Tao, Yue Wang

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

Matched filtering is an important method in radar signal processing to enhance the radar system performance. In this paper, the concept of the matched filtering is generalized to the fractional Fourier case. The response of the matched filter in fractional Fourier domain to chirp signals is analyzed, and the sidelobe suppression method for matched filtering in the fractional Fourier domain is considered. The theory introduced in this paper is validated by simulations.

Original languageEnglish
Title of host publicationProceedings of the 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012
Pages1-4
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012 - Harbin, Heilongjiang, China
Duration: 8 Dec 201210 Dec 2012

Publication series

NameProceedings of the 2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012

Conference

Conference2012 2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2012
Country/TerritoryChina
CityHarbin, Heilongjiang
Period8/12/1210/12/12

Keywords

  • Ambiguity function
  • Chirp signal
  • Fractional Fourier transform
  • Matched filter
  • Sidelobe

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