Suppression of smeared spectrum ECM signal
Authors:
- 1 April 2009
- journal article
- research article
- Published by Taylor & Francis in Journal of the Chinese Institute of Engineers
- Vol. 32 (3) , 407-413
Abstract
Three electronic counter‐countermeasures (ECCM) techniques for suppressing smeared spectrum (SMSP) jamming, a new electronic counter measures (ECM) technique, are presented. The analytical representations of the SMSP ECM signal in the time domain and the frequency domain are first derived, and then the differences between the SMSP jamming signal and the radar linear frequency modulation (LFM) signal are analyzed. Based on the differences, a jamming suppression system specifically for SMSP jamming interference excision is designed, which applies three different signal processing tools, i.e. fractional Fourier transform (FRFT), Fourier transform (FT) and atomic decomposition (AD). The jamming suppression performance of the presented methods is evaluated through simulations. The simulation results show that the presented methods can successfully suppress SMSP jamming.Keywords
This publication has 9 references indexed in Scilit:
- Ventricular and Atrial Activity Estimation Through Sparse Ecg Signal Decompositions2006
- Wideband time-varying interference suppression using matched signal transformsIEEE Transactions on Signal Processing, 2005
- Radar Emitter Signal Recognition Based on Resemblance Coefficient FeaturesLecture Notes in Computer Science, 2004
- Filtering in fractional Fourier domains and their relation to chirp transforms2002
- Time-frequency projection filters: Online implementation, subspace tracking, and application to interference excision2002
- Simulator for advanced fighter radar EPM developmentIEE Proceedings - Radar, Sonar and Navigation, 2001
- Fast matching pursuit with a multiscale dictionary of Gaussian chirpsIEEE Transactions on Signal Processing, 2001
- Adaptive time-varying cancellation of wideband interferences in spread-spectrum communications based on time-frequency distributionsIEEE Transactions on Signal Processing, 1999
- Matching pursuits with time-frequency dictionariesIEEE Transactions on Signal Processing, 1993