Low Complexity MIMO Detection
Springer Science & Business Media, Jan 7, 2012 - Technology & Engineering - 230 pages
Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.
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ˆ ˆ ˆ arg max arg min basis BER performance BER versus candidate vectors channel matrix CLLL algorithm column vectors complex-valued computational complexity considered criterion CSCG random decoding denotes detection methods detection problem diversity gain employed EP-CRC error probability exhaustive search full receive diversity Gaussian LR IEEE IEEE Trans integer jŒR linear detector linear filter list length low complexity LR-based detectors LR-based linear LR-based list detection LR-based MMSE-SIC LR-based SIC detection MIMO detection ML detection ML detector MMSE MMSE detector MMSE-SIC detection multiuser diversity multiuser MIMO systems partial MAP detection partial MAP-based list Pr s2 Proc IEEE PVC-MIMO detection QR decomposition QR factorization random variables real-valued receive antennas receive diversity gain received signal vector simulation results Springer Science+Business Media subdetection subdetector Subsect symbol vector Table Theorem transmit antennas transmit signal UBLR underdetermined underdetermined MIMO systems unimodular matrix user selection criteria