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Robust L_p-Norm Decoding for BICM-Based Secondary User Systems

机译:基于BICM的辅助用户系统的鲁棒L_p-Norm解码

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摘要

The frequency bands used by secondary user systems such as cognitive radio and ultra—wideband (UWB) systems are subject to various forms of non—Gaussian noise and interference including co—channel and narrowband interference caused by the primary user and other secondary users as well as man—made impulsive noise. For secondary user systems employing popular bit—interleaved coded modulation (BICM) we propose a robust L_p—norm metric for Viterbi decoding to overcome the harmful effects of non—Gaussian noise and interference. For the resulting system, we derive an approximate upper bound on the bit error rate (BER) and a general analytical expression for the asymptotic BER valid for all practically relevant types of fading, including Rayleigh, Ricean, Nakagami—m, Nakagami—q, and Weibull fading, and all types of noise and interference with finite moments. Simulation and analytical results show that, in non—Gaussian noise and interference, the proposed L_p—norm metric yields large performance gains over the conventional L_2—norm metric and outperforms erasure decoding.
机译:诸如认知无线电和超宽带(UWB)系统之类的次要用户系统使用的频段会受到各种形式的非高斯噪声和干扰的影响,包括主要用户和其他次要用户也造成的同信道和窄带干扰像人一样-产生冲动的声音。对于采用流行的比特交织编码调制(BICM)的辅助用户系统,我们提出了鲁棒的L_p-范数用于维特比解码,以克服非高斯噪声和干扰的有害影响。对于由此产生的系统,我们推导了误码率(BER)的近似上限,以及对所有实际相关的衰落类型(包括瑞利,赖斯,中上-m,中上-q,和Weibull衰落以及所有类型的噪声和有限矩的干扰。仿真和分析结果表明,在非高斯噪声和干扰下,所提出的L_p-norm度量比常规L_2-norm度量具有更大的性能增益,并且性能优于擦除解码。

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