DTMB外辐射源雷达纠错算法性能评估  

Performance evaluation of decoding algorithms for DTMB-based passive radar

作　　者：张劲松 万显荣[1] 张勋[1] 饶云华[1,2] ZHANG Jingsong;WAN Xianrong;ZHANG Xun;RAO Yunhua(School of Electronic Information,Wuhan University,Wuhan Hubei 430072,China;Shenzhen Research Institute of Wuhan University,Shenzhen Guangdong 518000,China)

机构地区：[1]武汉大学电子信息学院,湖北武汉430072 [2]武汉大学深圳研究院,广东深圳518000

出　　处：《太赫兹科学与电子信息学报》2021年第5期831-837,共7页Journal of Terahertz Science and Electronic Information Technology

基　　金：国家重点研发计划项目资助(2016YFB0502403);国家自然科学基金项目资助(61931015,61701350);湖北省科技创新项目资助(2019AAA061);博士后创新人才支持计划项目资助(BX201600117);中央高校基础研究项目资助(2042019kf1001);深圳市科技计划项目资助(JCYJ20170818112037398)。

摘　　要：低密度奇偶检验(LDPC)码纠错算法是地面数字多媒体广播(DTMB)外辐射源雷达参考信号重构的关键技术之一。LDPC码纠错算法可以改善噪声带来的数据误码,但是计算复杂度高。结合图形处理器(GPU)运算能力强的优点,本文提出了基于硬判决、混合判决、软判决的3类适用于GPU处理的LDPC码纠错并行算法,并对比了3类算法的复杂度、纠错性能以及对雷达信号处理的影响;最后,给出了GPU并行实现方案,对比了算法的实时化效果。仿真与实测结果论证了相较于其他算法,软判决并行算法具有优越的纠错性能和实效性。Low-Density Parity-Check code(LDPC)decoding is one of the key steps in reference signal reconstruction of passive radar.Decoding algorithms can improve data bit errors caused by noise,but with the high complexity.Combining high memory throughput and tremendous computational horsepower of GPU graphics processor,this paper proposes three types of parallel LDPC decoding algorithms suitable for GPU processing based on hard,mixed,and soft decisions.The complexity,decoding performance,and impact on radar signal processing of the three types of algorithms are described;finally,a parallel GPU implementation scheme is given,and the real-time time-consuming of the algorithms is compared.The simulation and measured results verify that the soft decision parallel algorithm is superior to other algorithms on performance and effectiveness.

关 键 词：地面数字多媒体广播 外辐射源雷达 低密度奇偶检验纠错算法 并行实现 

分 类 号：TN958.97[电子电信—信号与信息处理]