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针对采用低密度奇偶校验(LDPC)编码的多输入多输出系统中检测与译码级联方案未联合优化的问题,提出了一种低复杂度联合贝尔实验室分层空时(VBLAST)最小均方误差迭代检测与LDPC译码算法.该算法将VBLAST检测和LDPC译码统一于一个迭代信号处理框架,从系统角度分析了整个联合译码检测;通过级联简化的硬判决译码与检测的混合迭代消息传播,减少了各模块单独处理引起的互信息处理损失,从而优化了检测性能并降低了复杂度.仿真结果表明:与全软信息辅助检测方案相比,它以微小的0.1~0.2dB性能损失代价,获得了前者约1/2的复杂度及检测延迟等优势.
Aiming at the problem that the cascade scheme of detection and decoding in MIMO (Multiple Input Multiple Output) systems with low density parity check (LDPC) coding is not optimally combined, a low complexity joint Bell Labs hierarchical minimum space-time (VBLAST) Mean square error iterative detection and LDPC decoding algorithm. The algorithm combines VBLAST detection and LDPC decoding in an iterative signal processing framework, and analyzes the whole joint decoding detection systemically. Through cascading simplified hard-decision decoding and detection , Which can reduce the loss of mutual information processing caused by each module alone processing, so as to optimize the detection performance and reduce the complexity.The simulation results show that compared with the all-soft information aided detection scheme, 0.2dB loss of performance costs, access to the former about 1/2 of the complexity and detection delay and other advantages.