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卫星高性能LDPC译码算法研究

Research on High Performance LDPC Decoding Algorithm for Satellite
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摘要 卫星通信网络与地面通信网络的融合是未来通信网络的发展趋势,但目前卫星通信的发展相对于地面网络处于滞后的状态,此外,星地信息传输还面临着传输距离远易受干扰、卫星快速移动导致多普勒频移以及信道快速变化等挑战,使得信息传输的可靠性大大降低;信道编码是降低数据传输误码率的有效方式,目前,低密度奇偶校验(Low-Density Parity Check, LDPC)码因其优异的性能得到广泛认可并应用于各个领域;针对LDPC码译码算法进行优化,结合归一化最小和算法(Normalized Min-Sum Algorithm, NMSA)与偏移最小和算法(Offset Min-Sum Algorithm, OMSA)译码方案,提出在获取NMSA最优归一化因子后将其带入OMSA校验节点更新公式中,再获取最优偏移因子,实现两次优化的过程,最终通过仿真显示,译码性能得到进一步的提升。 The integration of satellite communication network and terrestrial communication network is the development trend of future communication network.At present,the development of satellite communication is lagging behind compared with terrestrial network.In addition,transmission of satellite-terrestrial information is faced with challenges such as long transmission distance and susceptibility to interference,Doppler shift due to rapid satellite movement and rapid channel change,which makes the reliability of information transmission greatly reduced.Channel coding is an effective way to reduce the BER of data transmission.And Low-Density Parity Check codes are widely recognized and used in various fields because of their excellent performance.For the optimization of LDPC code decoding algorithm,combining Normalized Min-Sum Algorithm and Offset Min-Sum Algorithm decoding schemes,we propose to obtain the optimal normalization factor of NMSA and then bring it into the OMSA check node update formula,and then obtain the optimal offset factor to realize the process of two optimizations,and finally the decoding performance is further improved as shown by simulation.
作者 刘哲铭 成俊峰 吴云飞 张景 陆洲 LIU Zheming;CHENG Junfeng;WU Yunfei;ZHANG Jing;LU Zhou(China Academic of Electronics and Information Technology,Beijing 100041,China)
出处 《无线电通信技术》 2023年第3期507-515,共9页 Radio Communications Technology
基金 国家重点研发计划(2021YFB2900500) 电子信息装备体系研究国防科技重点实验基金项目(614201004032101)。
关键词 卫星通信 LDPC码 NMSA OMSA satellite communications LDPC codes NMSA OMSA
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