DocumentCode :
1450649
Title :
Using EMD-FrFT Filtering to Mitigate Very High Power Interference in Chirp Tracking Radars
Author :
Elgamel, Sherif A. ; Soraghan, John J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
Volume :
18
Issue :
4
fYear :
2011
fDate :
4/1/2011 12:00:00 AM
Firstpage :
263
Lastpage :
266
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.
Keywords :
Fourier transforms; filtering theory; interference suppression; radar signal processing; radar tracking; signal denoising; EMD-FrFT filtering; complex noisy radar chirp signals; conventional monopulse tracking radars; empirical mode decomposition; fractional Fourier transform; jamming; manmade high power interference; signal processing subsystem; signal-to-noise ratio; very high power interference mitigation; Chirp; Filtering; Interference; Noise; Radar antennas; Radar tracking; Empirical mode decomposition; fractional Fourier transforms; high power interference suppression;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2011.2115239
Filename :
5713813
Link To Document :
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