CFP last date
20 January 2025
Reseach Article

Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel

by N.Sathish Kumar, Dr.K.R.Shankar Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 7
Year of Publication: 2011
Authors: N.Sathish Kumar, Dr.K.R.Shankar Kumar
10.5120/2021-2726

N.Sathish Kumar, Dr.K.R.Shankar Kumar . Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel. International Journal of Computer Applications. 16, 7 ( February 2011), 47-50. DOI=10.5120/2021-2726

@article{ 10.5120/2021-2726,
author = { N.Sathish Kumar, Dr.K.R.Shankar Kumar },
title = { Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 7 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number7/2021-2726/ },
doi = { 10.5120/2021-2726 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:24.965909+05:30
%A N.Sathish Kumar
%A Dr.K.R.Shankar Kumar
%T Performance Analysis of M X N Equalizer Based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 7
%P 47-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The effect of fading and interference effects can be combated with equalizer. This paper analyses the performance of MMSE equalizer based receiver for MIMO wireless channel .The BER characteristics for the various transmitting and receiving antenna is simulated in mat lab tool box and many advantages and disadvantages the system is described. The simulation carried out signal processing lab show that the MMSE equalizer based receiver is a good choice for removing some ISI and minimizes the total noise power. The results show that the BER decreases as the m x n antenna configurations is increased.

References
  1. H. Zhang, H. Dai, Q. Zhou, and B. L. Hughes, 2006 On the diversity-multiplexing tradeo for ordered SIC receivers over MIMO channels," IEEE International Conference on Communications (ICC), Istanbul, Turkey.
  2. K. Cho and D. Yoon,2002 , On the general BER expression of one and two-dimensional amplitude modulations," IEEE Transactions on Communications, vol. 50,
  3. D. Tse and P. Viswanath, 2005 Fundamentals of Wireless Communications. Cambridge Press. 1074-1080
  4. N. Jindal ,2005 High SNR analysis of MIMO broadcast channels," Proc. IEEE Int. Symp. Information Theory, Adelaide,Australia.
  5. X. Zhang and S. Kung, 2003, Capacity analysis for parallel and sequential MIMO equalizers," IEEE Transactions on Signal Processing, vol. 51. 2989-3003
  6. B. Hassibi,2000, A fast square-root implementation for BLAST," Thirty-Fourth Asilomar Conf. Signals, Systems and Computers. 1255-1259
  7. N. Prasad and M. K. Varanasi, 2004, Outage capacities of space-time architecture," Information Theory Workshop, SanAntonio, Texas. 24-29
  8. M. Varanasi, 1995 ,Group detection for synchronous Gaussian code-division multiple-access channels," IEEE Transactions on Information Theory, vol. 41. pp. 1083-1096.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO (Multiple Input Multiple output) MMSE(Minimum Mearn Square Error) ISI(Inter Symbol Interference) SNR (Signal to Noise Ratio)