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SNR Performance of Various MIMO-OFDM Detectors using V-BLAST

by Sneha Jojare, Naveeta Kant
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 32
Year of Publication: 2018
Authors: Sneha Jojare, Naveeta Kant
10.5120/ijca2018916725

Sneha Jojare, Naveeta Kant . SNR Performance of Various MIMO-OFDM Detectors using V-BLAST. International Journal of Computer Applications. 179, 32 ( Apr 2018), 17-20. DOI=10.5120/ijca2018916725

@article{ 10.5120/ijca2018916725,
author = { Sneha Jojare, Naveeta Kant },
title = { SNR Performance of Various MIMO-OFDM Detectors using V-BLAST },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 179 },
number = { 32 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number32/29202-2018916725/ },
doi = { 10.5120/ijca2018916725 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:57:13.039286+05:30
%A Sneha Jojare
%A Naveeta Kant
%T SNR Performance of Various MIMO-OFDM Detectors using V-BLAST
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 32
%P 17-20
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The combination of multiple-input-multiple-output (MIMO) wireless technology with orthogonal frequency division multiplexing (OFDM) has been recognized as one of the most promising techniques to support high data rate, improved capacity, high performance, and reduced inter-symbol interference(ISI). The broadband channel is a typically non-line-of-sight channel and includes many impairments such as time-selective and frequency-selective fading, due to which MIMO-OFDM serves as a better solution. MIMO-OFDM system has various detection techniques such as ZF (Zero Forcing), MMSE (minimum mean square error), ML (Maximum Likelihood, V-BLAST (Vertical Bell Labs Layered Space-Time). V-BLAST detection undergoes SIC (successive interference calculation) technique which uses spatial multiplexing. This paper mainly focuses on SNR performances based on BER (bit error rate) of received MIMO signals by applying the V-BLAST algorithm. The algorithm was tested on ZF, MMSE, ML detectors at the receiver end of MIMO system with the help of MATLAB simulation. ML was found out to be the best configuration, and BNR improvement of 102 and SNR of at least 12dB can be easily achieved.

References
  1. Abdessalem Trimeche, Nesrine Boukid, Anis Sakly, Abdellatif Mtibaa, “Performance Analysis of ZF and MMSE EqualizerSfor MIMO Systems” IEEE, Design & Technology of Integrated Systems in Nanoscale Era, 2012.
  2. Bhasker Gupta and Davinder S.Saini,” BER Performance Improvement in MIMO Systems Using Various Equalization Techniques” IEEE , Parallel Distributed and Grid Computing (PDGC), 2nd IEEE International Conference 2012.
  3. Amit Grover,Neeti Grover, Keshav Kumar,” A Comparative Analysis in Equalization” IEEE,Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), 2013 .
  4. P. W. Wolniansky, G. J. Foschini ; G. D. Golden , R. A. Valenzuela. "V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel." Signals, Systems, and Electronics, 1998.
  5. Anubhuti Khare, Manish Saxena, Vijendra Singh Mandloi, ”Performance Analysis of V-Blast Based MIMO-OFDM System with Various Detection Techniques.” IJEAT, ISSN: 2249 – 8958, Volume-1, Issue-2, 2011.
  6. Mincheol Park,Brian D. Woerner, Chair William H. Tranter Jeffrey H. Reed,” Performance Evaluation of Multiuser Detectors with V-BLAST to MIMO Channel.” 2003Virginia.
  7. Ramjee Prasad,”OFDM for wireless communications Sytem”,Aalborg University, 2004.
  8. Arsene Pankeu Yomi and Bruce F. Cockburn, ” Enhanced MIMO Detection with Parallel V BLAST.” IEEE Communications, Computers and Signal Processing (PacRim), 2011.
  9. Ssanjay d deshmukh, Rishi bagadia, Prachi kapoor, Dharmesh gohil,” Ofdm-Mimo And V-Blast Algorithm-Key To High Speed Wireless Communication.” IJECET volume 4, issue 2, pp. 426-440 , 2013
  10. N. Boubaker, K. B. Letaief and R. D. Murch,” A Low Complexity Multi-carrier BLAST Architecture for Realizing High DataRates Over Dispersive Fading Channels.” IEEE Vehicular Technology Conference, 2001
  11. Kumar, Kuldeep, and Manwinder Singh. "A comparison of different detection algorithms in a MIMO system." International Journal of Advanced Engineering Sciences and Technologies 7.2,vol 7, 301-304,2011.
  12. Shreedhar A Joshi1, Dr. Rukmini T S and Dr. Mahesh H M,” Analysis of V-BLAST Techniques for MIMO Wireless Channels with different modulation techniques usingLineaand Non Linear Detection” IJCSI , Vol. 1, Issue 1, November 2011.
  13. Ezio Biglieri, Robert Calderbank,Anthony Constantinides , Andrea Goldsmith, Arogyaswami Paulraj, H. Vincent Poor,” MIMO Wireless Communication.”2007
  14. Nirmalendu Bikas Sinha, R. Bera, M. Mitra,” Capacity And V-Blast Techniques For Mimo Wireless Channel.”JATIT Journal of Theoretical and Applied Information Technology,2010.
  15. Dr. Anubhuti Khare, Manish Saxena, Vijendra singh,” Performance Analysis of V-Blast Based MIMO-OFDM System with Various Detection Techniques.” IOSR Journal of Engineering,2012.
  16. http://www.radioelectronics.com/info/antennas/mimo/large-massive-mimo-system
Index Terms

Computer Science
Information Sciences

Keywords

MIMO-OFDM V-BLAST ZF MMSE ML SIC

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