低分辨率ADC下MIMO-OFDM系统中的广义Turbo信号检测  

Generalized Turbo signal detection in MIMO-OFDM system with low resolution ADCs

作　　者：王华华[1] 李延山 余永坤 WANG Huahua;LI Yanshan;YU Yongkun(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《系统工程与电子技术》2022年第1期299-306,共8页Systems Engineering and Electronics

基　　金：国家科技重大专项(2017ZX03001021-004)资助课题。

摘　　要：针对高分辨率模数转换器(analog-to-digital converter, ADC)接收机给大规模多输入多输出(multiple input multiple output, MIMO)系统带来的硬件成本昂贵和高功耗问题,研究了低分辨率ADC在毫米波MIMO正交频分复用(orthogonal frequency division multiplexing, OFDM)量化系统中的应用方案。通过将单输入单输出(single input single output, SISO)量化系统中的广义Turbo信号检测算法推广到MIMO-OFDM量化系统,实现了该算法的低复杂度实现方案。在4×32 MIMO-OFDM系统中,当误比特率为10^(-3)时,GTurbo算法与广义近似消息传递(generalized approximate message passing, GAMP)算法相比能得到约3 dB的性能增益。仿真表明,与GAMP算法相比,所提算法更适用于大规模天线阵列系统。Aiming at the high hardware cost and high power consumption caused by high-resolution analog-to-digital converter(ADC) receiver to large-scale multiple input multiple output(MIMO) system, the application scheme of low-resolution ADC in millimeter wave MIMO orthogonal frequency division multiplexing(OFDM) quantization system is studied. By extending the generalized Turbo signal detection algorithm in single input single output(SISO) quantization system to MIMO-OFDM quantization system, the low complexity implementation scheme of the algorithm is realized. In MIMO-OFDM system, when the bit error rate is 10^(-3), the GTurbo algorithm can obtain about 3 dB performance gain compared with the generalized approximate message passing(GAMP) algorithm. Simulation results show that compared with the GAMP algorithm, the proposed algorithm is more suitable for large-scale antenna array system.

关 键 词：低分辨率模数转换器 多输入多输出-正交频分复用量化系统 信号检测 

分 类 号：TN929.53[电子电信—通信与信息系统]