摘要
为了降低面向5G的正交频分复用系统的峰均功率比和计算复杂度,采用5G通信领域中的低密度奇偶校验码信道编码方案,通过部分传输序列改进后的循环移位序列方法与低密度奇偶校验码联合方法进行编码,称为LDPCSS码,根据导出LDPCSS码的奇偶校验矩阵,使用置信度传播算法进行译码。为了进一步降低LDPCSS码的延迟和搜索复杂度,提出基于遗传算法的LDPCSS方法,称为LDPCSS⁃GA方法。通过仿真与现有方法进行比较分析,结果表明,所采用的方法降低了BP译码器的译码复杂度和延迟,同时降低系统的PAPR和计算复杂度,还提升了误码率性能。
The channel coding scheme of low density parity check(LDPC)code in 5G communication field is adopted to reduce the peak to average power ratio(PAPR)and computational complexity of 5G oriented orthogonal frequency division multiplexing(OFDM)system.The combination method of the cyclic shift sequence(CSS)improved by partial transmission sequence(PTS)and the LDPC code is used to carry out coding,which is called the LDPCSS code.The belief propagation algorithm is used for decoding according to the parity check matrix that derives the LDPCSS code.And then,a genetic algorithm(GA)based LDPCSS method,called LDPCSS⁃GA method,is proposed to further reduce the delay and search complexity of LDPCSS code.This method is contrasted with the existing ones by simulation.The results show that the proposed method can not only reduce the decoding complexity and delay of BP decoder,but also reduce the PAPR and computational complexity of the system and improve the BER(bit error rate)performance.
作者
林志阳
LIN Zhiyang(School of Information and Communication Engineering,Hainan University,Haikou 570228,China)
出处
《现代电子技术》
2022年第15期6-9,共4页
Modern Electronics Technique
基金
海南省自然科学基金项目资助(619MS029)
海南省高等学校科学研究资助项目(Hnky2019⁃8)。
