Narrowband interference suppression for MIMO OFDM systems using adaptive filter banks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Blind detection of wideband interference for cognitive radio applications
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Relative entropy rate based multiple hidden Markov model approximation
IEEE Transactions on Signal Processing
Suppression of Time-varying Multi-tone Interference Based on Frequency Domain Interference Detection
Wireless Personal Communications: An International Journal
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We consider the problem of estimating and suppressing many unknown independent and time-varying interferers in a spread-spectrum communication system. The interferers are assumed to be present in a wide frequency range. In order to detect, estimate, and track the interference, we use a bank of hidden Markov model filters operating in the frequency domain. The hidden Markov model filters' outputs are then used to suppress the existing interference. The computational complexity of our scheme is only linear in the number of interferers. The simulation studies show that our proposed novel schemes adapt quickly in tracking the time-varying nature of the interference