On joint detection and channel estimation over rank-deficient MIMO links with sphere decoding

Morales, Jose Luis Lagunas; Roy, S.

doi:10.1109/cwit.2011.5872148

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Cited by 2 publications

(2 citation statements)

References 11 publications

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“…[6] addresses the problem of rank deficiency with a chaos-based estimation method for rank-deficient channels, employing joint detection and sphere decoding.…”

Section: Introductionmentioning

confidence: 99%

MIMO Channel Dimension Estimation in Interference Channels with Antenna Disparity

Waters

Armour²,

Doufexi³

et al. 2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

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“…[6] addresses the problem of rank deficiency with a chaos-based estimation method for rank-deficient channels, employing joint detection and sphere decoding.…”

Section: Introductionmentioning

confidence: 99%

MIMO Channel Dimension Estimation in Interference Channels with Antenna Disparity

Waters

Armour²,

Doufexi³

et al. 2016

2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)

View full text Add to dashboard Cite

“…High-complexity MLD amplifies the computational complexity of such an algorithm to a prohibitively high level. MLD has been replaced with a simpler SD for Space-Time Block Codes (STBC) in [11] and rank-deficient MIMO systems in [12]. However, these SDs suffer from a non-fixed decoding complexity over varying SNR values and the channel estimation requires a large number of iterations to achieve convergence.…”

Section: Introductionmentioning

confidence: 99%

Semi-blind iterative joint channel estimation and K-Best Sphere Decoding for MIMO

Dey

Messier

Magierowski

et al. 2013

2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

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Abstract-An efficient and high-performance semi-blind scheme is proposed for Multiple-Input Multiple-Output (MIMO) systems by iteratively combining channel estimation with K-Best Sphere Decoding (SD). To avoid the exponentially increasing complexity of Maximum Likelihood Detection (MLD) while achieving a near optimal MLD performance, K-best SD is considered to accomplish data detection. Semi-blind iterative estimation is adopted for identifying the MIMO channel matrix. Specifically, a training-based least squares channel estimate is initially provided to the K-best SD data detector, and the channel estimator and the data detector then iteratively exchange information to perform the decision-directed channel update and consequently to enhance the detection performance. The proposed scheme is capable of approaching the ideal detection performance obtained with the perfect MIMO channel state information.

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On joint detection and channel estimation over rank-deficient MIMO links with sphere decoding

Cited by 2 publications

References 11 publications

MIMO Channel Dimension Estimation in Interference Channels with Antenna Disparity

MIMO Channel Dimension Estimation in Interference Channels with Antenna Disparity

Semi-blind iterative joint channel estimation and K-Best Sphere Decoding for MIMO

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