基于量子搜索的MIMO-OFDM系统信号检测

Fei Li, Lizhi Zhou, Li Liu, Haibo Li
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引用次数: 6

摘要

多输入多输出正交频分复用(MIMO-OFDM)被认为是未来宽带无线业务的备选方案。本文提出了一种基于Grover量子搜索算法的MIMO-OFDM信号检测方案。Grover的量子搜索算法是基于量子计算的概念和原理,如量子比特、量子寄存器和量子并行。分析了Grover算法的理论基础,对Grover算法的性能进行了评价。提出了一种基于Grover算法的MIMO-OFDM系统信号检测器。仿真结果表明,该检测器在误码率方面比MMSE检测器和VBLAST-MMSE检测器具有更强的性能。当故障概率为0.001时,所提出的GD检测器的性能接近最优。当故障概率为0.00001时,GD检测器的性能下降。在这种情况下,我们提出的基于Grover算法的改进检测器仍然接近最优ML检测器。GD和IGD的复杂度为0(√N)。它比复杂度为0 (N)的经典ML检测器要好得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A quantum search based signal detection for MIMO-OFDM systems
Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is considered as candidates for future broadband wireless services. In this paper a novel signal detection scheme based on Grover's quantum search algorithm is proposed for MIMO-OFDM systems. Grover's quantum search algorithm is based on the concept and principles of quantum computing, such as quantum bit, quantum register and quantum parallelism. An analysis is given to the theoretical basis of Grover's algorithm and the performance of Grover's algorithm is evaluated. A novel signal detector based on Grover's algorithm (GD) for MIMO-OFDM system is proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than MMSE detector and VBLAST-MMSE detector. The performance of the proposed GD detector is close to optimal when the failure probability is 0.001. When the failure probability is 0.00001, the performance of GD detector declines. In this case, our proposed improved Grover's algorithm based detector is still close to the optimal ML detector. The complexity of GD and IGD is O(√N). It's much better than classical ML detector which complexity is O(N).
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