Using EMD-FrFT filtering to mitigate high power interference in chirp tracking radars

Sherif Elgamel, John Soraghan

Research output: Contribution to journalArticle

37 Citations (Scopus)
168 Downloads (Pure)

Abstract

This letter presents a new signal processing subsystem for conventional monopulse tracking radars that offers an improved solution to the problem of dealing with manmade high power interference (jamming). It is based on the hybrid use of empirical mode decomposition (EMD) and fractional Fourier transform (FrFT). EMD-FrFT filtering is carried out for complex noisy radar chirp signals to decrease the signal's noisy components. An improvement in the signal-to-noise ratio (SNR) of up to 18 dB for different target SNRs is achieved using the proposed EMD-FrFT algorithm.
Original languageEnglish
Pages (from-to)263 - 266
Number of pages4
JournalIEEE Signal Processing Letters
Volume18
Issue number4
DOIs
Publication statusPublished - Apr 2011

Keywords

  • chirp
  • filtering
  • interference
  • noise
  • radar tracking

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