基于估计误差逆序的VBLAST检测算法研究

摘要

To obtain a compromise between complexity and performance of the VBLAST system, a new detection algorithm based on SIC is proposed. The algorithm sorts by estimation error from big to small and combines with ML. The ways of sorting can ensure the reliability of the back layer to increase gradually. The ML detection of the first layer can cut error propagation problems. Making hypothesis to the first detected layer and choosing the best as the final detection output when all signals are detected to improve the performance of the whole system. The simulation results show that, no matter in fast fading Rayleigh channel or space related channel, compared with the traditional OSIC, the complexity of the algorithm increases slightly, while the bit error rate is lower, the performance is significantly improved, and it is more suitable for VBLAST signal detection system.%为了取得VBLAST系统复杂度与性能的折中,在串行干扰消除检测算法的基础上提出一种按估计误差从大到小排序并与最大似然检测算法相结合的检测算法.该算法的排序方式能够保证后面检测层的可靠度逐渐增加,对首层进行最大似然检测能提高首层的性能从而遏制误码传播问题；或者对首层进行假设,检测出所有信号后择优选取作为最后的检测输出来提高系统整体性能.仿真结果表明,不管是快衰落瑞利信道还是空间相关信道,新算法复杂度与传统排序串行干扰消除算法复杂度相当或略有增加,而误码率更低,性能明显改善,更适合于VBLAST系统的信号检测.