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Signal position-based adaptive QR decompositionbased M detection algorithm for multiple-input multiple-output systems

机译:多输入多输出系统基于信号位置的自适应QR分解M检测算法

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The QR decomposition-based M (QRD-M) algorithm is a suboptimal detection algorithm that achieves nearmaximum- likelihood detection (MLD) performance with low complexity. Some conventional QRD-M algorithms that directly determine the number of surviving paths have simple structures and are consequently cost effective and easy to implement. However, it is possible that surviving paths are chosen that have unnecessarily low reliability. The authors propose an algorithm, termed signal position-based QRD-M, to solve this problem using position estimation of the received signal. The position estimation process is accomplished using the most reliable candidate symbol to minimise additional processing. Computer simulations demonstrated that the proposed algorithm can achieve near-MLD performance with lower complexity than the fixed QRD-M algorithm.
机译:基于QR分解的M(QRD-M)算法是次优检测算法,它以低复杂度实现了接近最大似然检测(MLD)性能。一些直接确定生存路径数量的常规QRD-M算法具有简单的结构,因此具有成本效益并且易于实现。但是,可能会选择具有不必要的低可靠性的生存路径。作者提出了一种称为信号基于位置的QRD-M的算法,可以使用接收信号的位置估计来解决此问题。使用最可靠的候选符号来完成位置估计过程,以最大程度地减少其他处理。计算机仿真表明,与固定QRD-M算法相比,该算法可实现接近MLD的性能,且复杂度更低。

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