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FPGA Implementation of Sphere Detector for Spatial Multiplexing MIMO System

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Języki publikacji
EN
Abstrakty
EN
Multiple Input Multiple Output (MIMO (techniques use multiple antennas at both transmitter and receiver for increasing the channel reliability and enhancing the spectral efficiency of wireless communication system.MIMO Spatial Multiplexing (SM) is a technology that can increase the channel capacity without additional spectral resources. The implementation of MIMO detection techniques become a difficult mission as the computational complexity increases with the number of transmitting antenna and constellation size. So designing detection techniques that can recover transmitted signals from Spatial Multiplexing (SM) MIMO with reduced complexity and high performance is challenging. In this survey, the general model of MIMO communication system is presented in addition to multiple MIMO Spatial Multiplexing (SM) detection techniques. These detection techniques are divided into different categories, such as linear detection, Non-linear detection and tree-search detection. Detailed discussions on the advantages and disadvantages of each detection algorithm are introduced. Hardware implementation of Sphere Decoder (SD) algorithm using VHDL/FPGA is also presented.
Twórcy
autor
  • Electronics and Electrical Communications Engineering Department, ASU University, Cairo, Egypt
  • Electronics and Electrical Communications Engineering Department, ASU University, Cairo, Egypt
autor
  • Design Department managerVLSI Design Center Electronics Factory, Cairo, Egypt
Bibliografia
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  • [16] B. Hassibi and H. Vikalo, “On Sphere Decoding algorithm. Part I,the expected complexity,”IEEE Transactions on Signal Processing,vol. 54, no. 5, pp. 2806–2818, August 2005.
  • [17] Z. Guo and P. Nilsson, “Algorithm and implementation of the K-BestSphereDecoding for MIMO Detection,”IEEE Journal on SelectedAreas in Communications, vol. 24, no. 3, pp. 491–503, March 2006.
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  • [23] B. Hassibi and H. Vikalo, “On Sphere Decoding algorithm. Part I, the expected complexity,”IEEE Transactions on Signal Processing, vol. 54, no. 5, pp. 2806–2818, August 2005.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2778d103-a56a-4ff6-855e-7520c672693e
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