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The maximum likelihood (ML) detection is the process to find the nearest lattice point to a given one in an N-dimensional search space. The ML problem is well known to be NP-hard. In this paper, we propose a near-maximum likelihood detection algorithm based on an intensification strategy over an initially efficient and uniformly distributed subset. This subset is given by a diversification step based...
In this work, we propose a rotation-based transformation method and apply it to the QRD-M detector for MIMO systems with the commonly used square quadrature amplitude modulation (S-QAM) or amplitude and phase-shift keying (APSK). The QRD-M detector based on proposed rotation transformation principle method achieves 50% computation reduction for MIMO systems with 4-QAM compared with the original QRDM...
Multi-input multi-output (MIMO) systems equipped with multiple antennas have well documented merits in combating fading and enhancing data rates. MIMO V-BLAST transmission is a widely adopted method to achieve high spectral efficiency and low-complexity implementation. When the maximum likelihood (ML) or near-ML detector is employed, receive diversity is collected for MIMO V-BLAST systems to enhance...
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