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