Using EMD-FrFT Filtering to Mitigate Very High Power Interference in Chirp Tracking Radars

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.

[1]  E. J. Holder,et al.  A Space/Fast-Time Adaptive Monopulse Technique , 2006, EURASIP J. Adv. Signal Process..

[2]  G. Golino,et al.  Maximum likelihood estimator approach to determine the target angular co-ordinates in presence of main beam interference: application to live data acquired with a microwave phased array radar , 2005, IEEE International Radar Conference, 2005..

[3]  Gabriel Rilling,et al.  Detrending and denoising with empirical mode decompositions , 2004, 2004 12th European Signal Processing Conference.

[4]  C. Capus,et al.  Short-time fractional Fourier methods for the time-frequency representation of chirp signals. , 2003, The Journal of the Acoustical Society of America.

[5]  John J. Soraghan,et al.  Enhanced monopulse radar tracking using fractional Fourier filtering in the Presence of interference , 2010, 11-th INTERNATIONAL RADAR SYMPOSIUM.

[6]  Z. Zalevsky,et al.  The Fractional Fourier Transform: with Applications in Optics and Signal Processing , 2001 .

[7]  Gabriel Rilling,et al.  Bivariate Empirical Mode Decomposition , 2007, IEEE Signal Processing Letters.

[8]  Cagatay Candan,et al.  The discrete fractional Fourier transform , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[9]  Xicai Si,et al.  Analysis on the tracking performance of active radar seeker under the condition of coherent interference , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[10]  Haldun M. Özaktas,et al.  The fractional fourier transform , 2001, 2001 European Control Conference (ECC).