Turbo编码MIMO/OFDM系统中的Turbo均衡  

Turbo equalization for Turbo coded MIMO/OFDM systems

作　　者：金奕丹[1] 张峰[2] 吴伟陵[3] 

机构地区：[1]中国普天信息技术研究院有限公司,北京100080 [2]中国移动通信研究院,北京100053 [3]北京邮电大学信息工程学院,北京100876

出　　处：《电路与系统学报》2007年第5期82-87,共6页Journal of Circuits and Systems

基　　金：国家863计划资助项目(2001AA123016);国家自然科学基金资助项目(60172051)

摘　　要：针对Turbo编码MIMO/OFDM系统,本文提出一种低复杂度的Turbo均衡算法,均衡器采用性能近于最优检测的概率数据辅助(Probabilistic Data Association)算法,与软输入软输出的Turbo信道解码器之间迭代交换外信息,实现信道均衡与信道解码的迭代更新,以充分利用已获得的信息,克服传统判决反馈均衡器误差传播的缺陷。仿真表明,该均衡算法性能要比MMSE+MF线性检测算法提高约1dB,在Eb/No为4dB时误比特率达到10-6,且算法复杂度仅为O(N3),经两次迭代就可获得较为满意的码间干扰消除效果。A low-complexity turbo equalization algorithm, which consists of soft-output decision-feedback equalization （DFE） techniques with probabilistic data association algorithm （PDA） and soft-input soft-output channel decoding for turbo coded MIMO/OFDM systems, is proposed to realize iterative information updating. In each iteration, extrinsic information is extracted from the PDA detector and the channel decoder, and then used as the prior information for the next iteration. The simulations show that the equalization algorithm gives the performance improvement in SNR around ldB with BER reaching 10^-6 when the Eb/No=4dB compared to MMSE＋MF, and can reduce the inter-symbol interference （ISI） greatly at a low overall complexity of O（N3） after two iterations.

关 键 词：MIMO OFDM TURBO均衡 概率数据辅助 Turbo信道解码 

分 类 号：TN914.5[电子电信—通信与信息系统]