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A New Semi-Blind Method for Spatial Equalization in MIMO Systems
Liu YANG Hang ZHANG Yang CAI Qiao SU
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2018/10/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Digital Signal Processing
l1-norm cost function, multi-input-multi-output (MIMO) systems, semi-blind, spatial equalization,
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In this letter, a new semi-blind approach incorporating the bounded nature of communication sources with the distance between the equalizer outputs and the training sequence is proposed. By utilizing the sparsity property of l1-norm cost function, the proposed algorithm can outperform the semi-blind method based on higher-order statistics (HOS) criterion especially for transmitting sources with non-constant modulus. Experimental results demonstrate that the proposed method shows superior performance over the HOS based semi-blind method and the classical training-based method for QPSK and 16QAM sources equalization. While for 64QAM signal inputs, the proposed algorithm exhibits its superiority in low signal-to-noise-ratio (SNR) conditions compared with the training-based method.