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LDPC码偏移最小和译码算法中量化问题的研究

Some quantization issues for decoding of LDPC with OMS algorithm
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摘要 为改善低密度奇偶校验(LDPC)码的量化译码算法的译码性能,提出了一种改进的4比特量化偏移最小和(OMS)译码算法.改进的OMS译码算法中对接收信号和后验信息进行了量化处理.仿真实验表明,在高信噪比情况下,与接收信号4比特量化相比,改进的量化OMS译码算法可以降低误码率. In order to improve decoding performance for quantization decoding algorithm of low density parity check（LDPC）codes,an improved 4bit quantized offset min sum（OMS）algorithm was designed.The improved OMS algorithm is obtained by quantizing the received signal and the posterior information.The simulation results show that the bit error rate for the improved OMS algorithm were down more than from 4bit quantization of the received signal at high SNR.
作者 王丽 吴琰 陈帅
机构地区 淮南师范学院电子工程学院
出处 《延边大学学报（自然科学版）》 CAS 2016年第1期65-68,共4页 Journal of Yanbian University（Natural Science Edition）
基金 淮南师范学院科研基金资助项目(2014xj50)
关键词 LDPC码 OMS算法 量化 误码率 low density parity check codes offset min sum algorithm quantization bit error rate
分类号 TN911.22 [电子电信—通信与信息系统]
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参考文献9

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二级参考文献33

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共引文献10

延边大学学报（自然科学版）
2016年 第1期

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