EM-based blind LDPC identification in multipath channels |
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Authors: | Yu LIU Fanggang WANG Jingwen ZHANG Bo AI Zhangdui ZHONG |
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Affiliation: | State Key Lab of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China |
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Abstract: | As the advent of cognitive radios,blind encoder identification has attracted increasingly attentions since it plays an important role.The existing works mainly focus on additive white Gaussian noise (AWGN) channel,while the blind identification in multipath scenarios has not been sufficiently investigated.Considering the blind low density parity-check (LDPC) codes identification in the presence of unknown multipath fading channel,a likelihood-based classifier was proposed using the expectation maximization (EM) algorithm to obtain the maximum likelihood estimates of the unknown parameters.Then,an average log-likelihood ratio (LLR) estimator was adopted to classify the unknown encoder.Numerical results show that the proposed algorithm provides promising identification performance in multipath channels,especially in the low signal-to-noise ratio region. |
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Keywords: | cognitive radios multipath fading channel blind encoder identification LDPC EM algorithm |
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