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An Improved Soft-Input Soft-Output Detector for Generalized Spatial Modulation
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DOI：10.1109/LSP.2015.2498147.png)
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Abstract
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Generalized spatial modulation (GSM) is a recently proposed appealing multi-input multi-output (MIMO) transmission technique, which is capable of striking a tradeoff between the achievable transmission rate and the cost of radio frequency (RF) chains. In this letter, a novel low-complexity near-optimal soft decision (SoD)-aided detector is proposed for GSM, which considerably reduces the search space by employing a block minimum mean-squared error (B-MMSE) algorithm. Our simulation results show that the proposed detector is capable of achieving a better tradeoff between bit-error-rate (BER) performance and computational complexity compared with the existing matched filter (MF)based SoD algorithms.
Keywords:
Generalized spatial modulation (GSM)
multi-input multi-output (MIMO)
soft-input soft-output
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