2018
DOI: 10.1109/tvt.2018.2790432
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Space-Time Blind Equalization of Dispersive MIMO Systems Driven by QAM Signals

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Cited by 4 publications
(1 citation statement)
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“…Also, [13] introduced an efficient soft-decision algorithm (SDDA) and improved the Newton method for blind equalization of 4QAM. In [14], authors studied the space-time blind equalization (BE) of high-throughput QAM signals in MIMO systems and overcame the local convergence problem by multi-stage processing. Reference [15] proposed a doubleblind equalization technique based on rectangular quadrature amplitude modulation (RQAM), namely a rectangular contour algorithm and an improved rectangular contour algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…Also, [13] introduced an efficient soft-decision algorithm (SDDA) and improved the Newton method for blind equalization of 4QAM. In [14], authors studied the space-time blind equalization (BE) of high-throughput QAM signals in MIMO systems and overcame the local convergence problem by multi-stage processing. Reference [15] proposed a doubleblind equalization technique based on rectangular quadrature amplitude modulation (RQAM), namely a rectangular contour algorithm and an improved rectangular contour algorithm.…”
Section: Introductionmentioning
confidence: 99%