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Multiple transmit and receive antenna diversity techniques for wireless communications

Multiple transmit and receive antenna diversity techniques for wireless communications,10.1109/ASSPCC.2000.882449,B. A. Bjecke,John G. Proakis

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Multiple transmit and receive antenna diversity techniques for wireless communications   (Citations: 11)
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We consider wireless communication systems that employ multiple transmit and receive antennas to increase the data rate and achieve spatial diversity in fading multipath channels. We focus on a system with N transmit antennas and M receive antennas, and present the optimal maximum likelihood detector, as well as suboptimal detectors for both frequency-selective and frequency nonselective channels. The performance of the detectors are analyzed theoretically as well as through simulations. Coded systems are also considered
Conference: The IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium - AS-SPCC , 2000
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    • ...Possible detection techniques include zero-forcing (ZF), minimum meansquare error (MMSE) detection, Vertical Bell Laboratories Layered Space Time (V-BLAST) [3] detection and maximum-likelihood detection (ML) [4]...

    Jiyu Jin, et al. Approximate ML Detection with the Best Channel Matrix Selection for MI...

    • ...Many detection techniques have been designed to take advantage of the large data rates and diversity advantages offered by MIMO communications, including zero-forcing (ZF), minimum meansquare error (MMSE), ordered ZF or MMSE V-BLAST detector [2], sphere-decoding maximum likelihood (ML) algorithm [3] and ML detection (MLD) [4], etc...

    Jiming Chen, et al. A Low Complexity Near Maximum Likelihood VBLAST Algorithm for MIMO Sys...

    • ...Many detection techniques have been designed to take advantage of the large data rates and diversity advantages offered by MIMO communications, including zero-forcing (ZF), minimum mean-square error (MMSE), ordering MMSE detector [2], sphere-decoding [3] and maximum-likelihood detection (MLD) [4], etc...
    • ...In this section, we present the novel near ML detector, as illustrated in Fig. 1. After the signal dimension is reduced, the residual subsystem after canceling the effect of those symbols with high reliability is fed into the high performance detector, including ordering MMSE detector [2], MLD [4], EVS-NMLD [5], space-time Chase detector [6], and B-Chase [7]...

    Jiming Chen, et al. A Novel Near Maximum Likelihood Detection Scheme for Wireless MIMO Sys...

    • ...Many detection techniques have been designed to take advantage of the large data rates and diversity advantages offered by MIMO communications, including zero-forcing (ZF), minimum mean-square error (MMSE), ordering MMSE detector [2], sphere-decoding [3] and maximum-likelihood detection (MLD) [4], etc...
    • ...In this section, we present the novel near ML detector, as illustrated in Fig. 1. After the signal dimension is reduced, the residual subsystem after canceling the effect of those symbols with high reliability is fed into the high performance detector, including ordering MMSE detector [2], MLD [4], EVS-NMLD [5], space-time Chase detector [6], and B-Chase [7]...

    Jiming Chen, et al. A Novel Near Maximum Likelihood Detection Scheme for Wireless MIMO Sys...

    • ...Possible detection techniques include zero-forcing (ZF), minimum mean-square error (MMSE) detection, maximum-likelihood detection (MLD) [3] and the Vertical Bell Laboratories Layered Space Time (V-BLAST) detection...
    • ...In this approach, an initial estimate of the transmitted vector is obtained by using the ZF algorithm [3]...

    Jacky Ho-Yin Fan, et al. Near maximum likelihood detection schemes for wireless MIMO systems

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