Huber M-estimator based LTE robust detector

Essai, Mohamed H.

doi:10.1109/ifost.2016.7884106

Cited by 1 publication

(3 citation statements)

References 13 publications

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“…For 2   , GG distribution coincides with the Normal distribution, while for 1   , the distribution coincides with the two sided Laplace distribution. For 2   , this distribution has heavier tails in comparison with the Normal distribution [8,9,18]. Fig.2 shows a variety of densities at different values of  .…”

Section: Description Of Mimo Systemmentioning

confidence: 94%

“…Finally, the remaining signal with least interference can be used in the next stage. Either ZF detector in equation (3) or MMSE detector in equation 5can be used as symbols estimator in the consecutive OSIC stages [7][8][9], [18].…”

Section: Ordered Successive Interference Cancelation Detection Techniquementioning

confidence: 99%

“…The value c is a tuning parameter that's used for trading-off high effectiveness with robustness. It was found that the tuning parameter c has 95% efficiency at 1.3998 [18,19]. The c=1.3998 tuning parameter was used in the simulation.…”

Section: Proposed Robust Fair-based Sm-mimo Detectormentioning

confidence: 99%

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Fair- M-Estimator Based Mimo Detector and Mimo System Investigation in Non-Gaussian Channels

Essai

2018

JES. Journal of Engineering Sciences

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The impact of the presence of non-Gaussian noise on the efficiency of OSIC-MMSE and OSIC-ZF detectors for 2x2 SM-MIMO communication systems were investigated. Also, I investigated to what extent, increasing the number of transmitting and receiving antennas in SM-MIMO systems will enhance the efficiency of the investigated detectors against these non-Gaussian noises. Finally, a new M-Estimator based SM-MIMO detector named Fair detector is proposed, in order to achieve robust detection, for non-Gaussian channels. The proposed detector designed for LTE and LTE-advanced wireless communication systems. The proposed detector was compared with aforementioned detectors in terms of bit error rate, and computational complexity. Simulation results show the substantial performance of the proposed detector compared to the investigated detectors.

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Section: Description Of Mimo Systemmentioning

confidence: 94%