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Multiple-input multiple-output (MIMO) signal detection is the key to improving the performance of an entire MIMO system (La in Sci Technol Guide 6:51, 2011 [1]). MIMO-system detection algorithms can be divided into linear, nonlinear, and iterative detection algorithms. Linear detection algorithms include zero forcing (ZF) and minimum mean-squared error (MMSE). Nonlinear detection algorithms include a sphere decoding algorithm, semidefinite relaxation detector, intelligent methods, and iterative detection algorithms (Teng and Yun in Modern Telecommun Technol 11:59, 2010 [2]).

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MIMO-System Detection Algorithms

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  • 发表日期：

    2025年

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  • Xizheng Ke

摘要

Multiple-input multiple-output (MIMO) signal detection is the key to improving the performance of an entire MIMO system (La in Sci Technol Guide 6:51, 2011 [1]). MIMO-system detection algorithms can be divided into linear, nonlinear, and iterative detection algorithms. Linear detection algorithms include zero forcing (ZF) and minimum mean-squared error (MMSE). Nonlinear detection algorithms include a sphere decoding algorithm, semidefinite relaxation detector, intelligent methods, and iterative detection algorithms (Teng and Yun in Modern Telecommun Technol 11:59, 2010 [2]).