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An Modified Beyond Belief Propagation Algorithm over AWGN Channel

机译:超出AWGN通道的超越信仰传播算法

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Recently one decoding algorithm called as beyond belief propagation (BP) algorithm for LDPC Codes is derived using the knowledge of trapping set and different from standard BP algorithm, whose performance outperforms that of the latter over binary symmetric channel (BSC). However, the former is not suitable for additive white Gaussian noise (AWGN) channel. In this paper how to improve bit error rate (BER) performance of Beyond BP Algorithm is investigated over AWGN channel. It is found that this algorithm can be modified through setting appropriate penalty factor and obtains better performance than BP one over AWGN channel. The simulation results show dependently on choosing penalty factor modified Beyond BP Algorithm outperforms BP one over AWGN channel in high signal noise rate (SNR) region or almost whole SNR one and there are some differences for different code rates. Concretely, for medium or low code rate proposed algorithm can obtain more performance gain relative to high one when short frame is used.
机译:最近,使用捕获集合的知识和与标准BP算法不同的知识导出了一种称为LDPC代码的信仰传播(BP)算法的一种解码算法,其性能优于二进制对称信道(BSC)的性能优势。然而,前者不适合添加白色高斯噪声(AWGN)信道。本文在AWGN通道上研究了如何提高BP算法的误码率(BER)性能。结果发现,该算法可以通过设置适当的惩罚系数来修改,并比BP ONE在AWGN通道上获得更好的性能。仿真结果依赖性地显示了在高信号噪声速率(SNR)区域或几乎​​整个SNR中的BP算法超越BP算法的惩罚因子胜过BP ONE上的AWGN信道。不同的代码率存在一些差异。具体地,对于中等或低码率所提出的算法可以在使用短帧时获得相对于高算法的更高性能增益。

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