LDPC结合垂直分层空时码的迭代检测算法的研究  

Detection algorithm for LDPC combined with vertical layered space time code

作　　者：张艳[1,2] 仰枫帆[2] 

机构地区：[1]南京信息职业技术学院电子信息学院,江苏南京210032 [2]南京航空航天大学电子信息工程学院,江苏南京210016

出　　处：《南京邮电大学学报（自然科学版）》2015年第3期47-51,共5页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：航空科学基金(20105552031)资助项目

摘　　要：文中提出了基于球形检测的Fincke-Pohst-MAP(FP-MAP)的联合迭代检测算法,介绍了LDPC码结合垂直分层空时码(V-BLAST)在协作MIMO系统中的应用。理论分析和推导了联合迭代的具体过程,通过仿真结果的研究表明,FP-MAP球形检测算法与迫零排序加干扰抵消(ZF-OSIC)算法和基于递推最小二乘法的判决反馈均衡(RLS-DFE)算法相比,误码率的性能分别提高了1 dB和0.3 dB左右,而且FP-MAP算法的性能最接近于ML检测。最后还将LDPC码、卷积码和Turbo码与V-BLAST级联的协作MIMO系统进行了比较分析,仿真结果可知LDPC级联系统在较高信噪比区域时的性能更优越。A jointed iterative detection algorithm based on Fincke-Pohst （FP）-maximum a posteriori prob- ability （MAP） is proposed. Low-density parity-check （LDPC） codes combined with vertical layered space-time codes （VBLAST） is introduced in the cooperative multiple-input multiple-output （MIMO） system is introduced. Theoretical analysis and the derivation exhibit the iterative processing. Compared with zero forcing sort plus interference cancellation （ZF-OSIC） and the recursive least squares decision feedback equalization （RLS-DFE） algorithms, the performance of the FP-MAP algorithm is improved by approximately 1 and 0.3 dB, respectively. The performance of FP-MAP detection algorithm is closest to that of maximum likelihood （ML） detection. Finally, LDPC, Turbo and convolutional codes cascade YBLAST cascade in cooperative MIMO system are compared and analyzed. Simulation results show that the performance of LDPC codes is superior in the higher signal-to-noise ratio area.

关 键 词：LDPC码 V-BLAST 协作MIMO 球形算法 迭代检测 

分 类 号：TN929[电子电信—通信与信息系统]