Nasri A, Schober R (2009)
Publication Type: Conference contribution
Publication year: 2009
Conference Proceedings Title: GLOBECOM - IEEE Global Telecommunications Conference
ISBN: 9781424441488
DOI: 10.1109/GLOCOM.2009.5425995
The frequency bands used by secondary systems such as cognitive radio (CR) and ultra-wideband (UWB) systems are subject to various forms of non-Gaussian noise and interference including co-channel interference caused by the primary user and other secondary systems and man-made impulsive noise. For secondary systems employing the popular combination of bit-interleaved coded modulation (BICM) and orthogonal frequency division multiplexing (OFDM) it has been recently shown that robustness against the negative effects of non-Gaussian impairments can be achieved by replacing the conventional L2-norm metric for Viterbi decoding with an Lp-norm metric. However, in order to achieve high performance, the metric parameter p has to be optimized for the underlying type of noise. In this paper, we propose two adaptive algorithms for online optimization of p. The first algorithm is based on a maximum-likelihood parameter estimation framework. The second algorithm is based on the direct minimization of the asymptotic bit error rate of Lp-norm decoding. Simulation results show that both algorithms have excellent performance and that the resulting adaptive Lp-norm metric outperforms other popular metrics in non-Gaussian noise channels.
APA:
Nasri, A., & Schober, R. (2009). Adaptive Lp-norm metric for secondary BICM-OFDM systems. In GLOBECOM - IEEE Global Telecommunications Conference. Honolulu, HI, US.
MLA:
Nasri, Amir, and Robert Schober. "Adaptive Lp-norm metric for secondary BICM-OFDM systems." Proceedings of the 2009 IEEE Global Telecommunications Conference, GLOBECOM 2009, Honolulu, HI 2009.
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