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

Elgamel, Sherif and Soraghan, John (2011) Using EMD-FrFT filtering to mitigate high power interference in chirp tracking radars. IEEE Signal Processing Letters, 18 (4). 263 - 266. ISSN 1070-9908

[img] PDF
lsp_elgamel_2115239_proof_1_.pdf
Preprint

Download (1MB)

    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.