| 基于幅度和的LDPC码加权比特翻转译码算法 |
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| 引用本文： | 张高远,周亮,文红.基于幅度和的LDPC码加权比特翻转译码算法[J].系统工程与电子技术,2014,36(4):752-757. |
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| 作者姓名： | 张高远 周亮 文红 |
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| 作者单位： | 电子科技大学通信与抗干扰技术国家重点实验室, 四川 成都 611731 |
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| 摘 要： | 以信息节点的幅度和作为校验方程的可靠度信息，提出两种简单高效的低密度奇偶效验（low density parity check, LDPC）码的加权比特翻转(weighted bit flipping, WBF)译码算法。仿真结果表明，在加性高斯白噪声信道下，误比特率为10-5时，相比于传统的WBF和改进型WBF(modified WBF, MWBF)算法，提出的一种算法可分别获得约1.65 dB和1.31 dB的增益。同时，平均迭代次数也大大降低。
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Sum of the magnitude based weighted bit-flipping decoding algorithms for LDPC codes |
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| ZHANG Gao-yuan,ZHOU Liang,WEN Hong.Sum of the magnitude based weighted bit-flipping decoding algorithms for LDPC codes[J].System Engineering and Electronics,2014,36(4):752-757. |
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| Authors: | ZHANG Gao-yuan ZHOU Liang WEN Hong |
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| Institution: | National Key Laboratory of Science and Technology on Communications,
University of Electronic Science and Technology of China, Chengdu 611731, China |
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| Abstract: | Two simple and efficient weighted bit flipping (WBF) decoding algorithms for low density parity-check (LDPC) codes are proposed, in which the sum of the variable nodes’magnitude is introduced to compute the reliability of the parity checks. Simulation results shows that the performance of one of the improved scheme is better than that of traditional WBF and modified WBF (MWBF) algorithms about 1.65 dB and 1.31 dB at BER of 10-5over an additive white Gaussian noise channel, respectively, while the average number of decoding iterations is significantly reduced. |
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