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Improved multistage chase detection algorithm for MIMO wireless communication system

机译:MIMO无线通信系统中改进的多级跟踪检测算法

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In multiple-input multiple-output (MIMO) wireless communication system, Maximum likelihood (ML) detection algorithm is the optimum detection algorithm which computational complexity growing exponentially with the number of transmit-antenna. Chase detector can achieve near-ML performance with lower complexity, which is combined by a list detector and a parallel bank of sub-detectors. Because of the existence of error propagation, the orders of symbol detection are critical in Chase detection. An improved multistage Chase detector is proposed here for reducing error spread based on maximum likelihood (ML) detection and order method, that can trade-off performance and complexity by setting parameters at different values, Simulation experiment results show the validity of proposed algorithm.
机译:在多输入多输出(MIMO)无线通信系统中,最大似然(ML)检测算法是最佳计算算法,其计算复杂度随发射天线的数量呈指数增长。追逐检测器可以以较低的复杂度实现近ML性能,这是由列表检测器和并行子检测器库组合而成的。由于存在错误传播,因此符号检测的顺序对于追逐检测至关重要。提出了一种改进的多级Chase检测器,该方法基于最大似然(ML)检测和排序方法来减少误差扩散,可以通过将参数设置为不同的值来权衡性能和复杂性,仿真实验结果证明了该算法的有效性。

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