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

Sherif Elgamel, John Soraghan

Research output: Contribution to journalArticle

33 Citations (Scopus)
162 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

Fingerprint

Fractional Fourier Transform
Chirp
High Power
Fourier transforms
Filtering
Interference
Decomposition
Decompose
Jamming
Radar
Signal Processing
Signal to noise ratio
Signal processing
Subsystem
Decrease
Target

Keywords

  • chirp
  • filtering
  • interference
  • noise
  • radar tracking

Cite this

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Using EMD-FrFT filtering to mitigate high power interference in chirp tracking radars. / Elgamel, Sherif; Soraghan, John.

In: IEEE Signal Processing Letters, Vol. 18, No. 4, 04.2011, p. 263 - 266.

Research output: Contribution to journalArticle

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