Abstract
A multiple space-time transmit diversity (MSTTD) detection scheme on quasi-static Rayleigh flat-fading channels is proposed. The proposed detection algorithm first determines the candidates for M units each using a QR decomposition, and computes a reference metric for a full-length vector consisting of the first candidates at each unit. Then it performs a more likely searching simply by comparing the reference metric with other candidates such that an inter-unit interference can be effectively eliminated. Through these procedures it can approach the ML performance with less complexity even compared to an improved Schnorr-Euchner (ISE) scheme.
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