DocumentCode :
3083189
Title :
Mitigate high power interference noise in chirp radar systems using EMD-FrFT filtering
Author :
Elgamel, Sherif A. ; Soraghan, John
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear :
2011
fDate :
6-8 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a new signal processing subsystem for conventional monopulse chirp 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; jamming; radar signal processing; EMD-FrFT filtering; chirp radar systems; conventional monopulse chirp tracking radar; empirical mode decomposition; fractional Fourier transform; high power interference noise mitigation; jamming; manmade high power interference; signal processing subsystem; Chirp; Filtering; Interference; Noise; Noise measurement; Radar; Radar antennas; Empirical mode decomposition; fractional Fourier transform; high power interference suppression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location :
Corfu
ISSN :
Pending
Print_ISBN :
978-1-4577-0273-0
Type :
conf
DOI :
10.1109/ICDSP.2011.6004955
Filename :
6004955
Link To Document :
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