| 基于量子神经网络的MIMO信号检测技术 |
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| 作者单位： | 南京邮电大学通信与信息工程学院 江苏南京210003 |
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| 摘 要： | MIMO信号的最优检测在常规条件下是一NP难解问题。利用量子并行计算和量子纠缠等特性,量子计算与人工神经网络结合的量子神经网络能有效的解决这一问题。本文采用Hopfield神经网络实现MIMO信号检测,利用基于检测序列最大后验概率最佳接收似然函数与Hopfield神经网络的能量函数对应关系,构造一种量子神经网络的MIMO检测器。计算仿真结果表明:本文所提出的检测器在误码率方面有良好的性能。
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| 关 键 词： | 多入多出 Hopfield神经网络 量子神经网络 |
MIMO Detection Based on Quantum Neural Network |
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| Authors: | YANG Qian-qian |
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| Abstract: | The optimal solution of MIMO signal detection is a NP problem.Making use of the properties of quantum mechanics such as quantum parallelism and entanglement,Quantum Neural network(QNN) can solve this problem efficiently.This paper adopts method of Hopfield neural network to realize MIMO signals detection.Basic on mapping between detecting sequence Maximum a posteriori Probality(MAP) optimum reception likelihood function and energy function of Hopfield nerve net,we conformat a kind of quantum neural network MIMO singal detector.Computer simulation results show that the method has powerful property in bit error rate. |
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| Keywords: | mimo Hopfield neural network Quantum neural network |
| 本文献已被 CNKI 等数据库收录！ |
