Adaptive Lp-norm metric for secondary BICM-OFDM systems

Authors:
Amir Nasri;Robert Schober
Affiliations:
University of British Columbia;University of British Columbia
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 8
Cited 2

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Robust minimax detection of a weak signal in noise with a bounded variance and density value at the center of symmetry

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On the performance of single-threshold detectors for binary communications in the presence of Gaussian mixture noise

IEEE Transactions on Communications
Robust Lp-norm decoding for BICM-based secondary user systems

IEEE Transactions on Communications

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Abstract

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.