Space alternating generalized maximum-likelihood based low-complexity list detection algorithm

Space alternating generalized maximum-likelihood based low-complexity list detection algorithm

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A space-alternating generalized maximum-likelihood (SAGL) list detection algorithm with lower-complexity for V-BLAST systems was proposed.The sub-detector involved in the proposed list detection algor MULTI VITAMIN JUNGLE BERRY hm consisted of sim-plified maximum-likelihood (SML) detectors and successive interference cancel ation (SIC) detectors.The proposed al-gorithm could utilize adjacent symbols to realize joint-sliding detection to achieve higher diversity gain, wh le the tradi-tional SIC algorithm was only able to detect a single symbol each time.

Moreover, the proposed SAGL algorithm could further iteratively improve the detection results.Ana is and simulation results present the corresponding enhanced per-formance at Seat Cushions the cost of slightly increased complexity, compared with the traditional list detection algorithm.