Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
|International Journal of Electrical and Electronics Engineering|
|© 2014 by SSRG - IJEEE Journal|
|Volume 1 Issue 1|
|Year of Publication : 2014|
|Authors : VaishaliW.Sonone, Dr.N.B.Chopade|
VaishaliW.Sonone, Dr.N.B.Chopade, "Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance" SSRG International Journal of Electrical and Electronics Engineering 1.1 (2019): 5-8.
VaishaliW.Sonone, Dr.N.B.Chopade,(2019). Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance. SSRG International Journal of Electrical and Electronics Engineering 1(1), 5-8.
The use of multiple antennas for diversity, including MIMO (Multiple Input Multiple Output) is one of the most promising wireless technologies for broadband communication applications. This antenna system is a vital study in today’s wireless communication system especially when the signal propagates through some corrupted environments. In our paper new techniques of improving bit error ratio and signal to noise ratio are discussed.Intersymbol interference is a major limitation of wireless communications. It degrades the performance significantly if the delay spread is comparable or higher than the symbol duration. To remove ISI, equalization needs to be included at the receiver end. The most popular equalization algorithms are zero forcing (ZF) equalizer and minimum mean square (MMSE) equalizerand maximum ratio combining equalizer.
 H. Zhang, H. Dai, Q. Zhou, and B. L. Hughes, 2006 on the “Diversity-multiplexing tradeoff for ordered SIC receivers over MIMO channels,” IEEE International Conference on Communications (ICC), Istanbul, Turkey.
 K. Cho and D. Yoon, 2002,on “The general BER expression of one and two-dimensional amplitude modulations," IEEE Transactions on Communications, vol. 50.
 N.Satish Kumar, Dr.K.R.Shankar Kumar,“Performance Analysis of M*N Equalizer based Minimum Mean Square Error (MMSE) Receiver for MIMO Wireless Channel”, International Journal of Computer Applications (0975 – 8887) Volume 16– No.7, February 2011.
 Wireless Communications (Principles & Practice), second edition by Theodore S. Rappaport.
 John A.C Bingham, “Multicarrier modulation for data transmission: An idea whose time has come.” IEEE Communication Magazine, May 1990, vol.28, issue 5, pp 5-14.
 Hongliang Mao, Yukui pei and Ning Ge, “Full Diversity Achieving MMSE Frequency-Domain Equalizer for Single-carrier Block Transmission with DSSS”, IEEE, 2012.
MIMO (Multiple Input Multiple output), MMSE (Minimum Mean Square Error), MRC (Maximal Ratio Combining), ZF (Zero Forcing) ISI (Inter Symbol Interference), SNR (Signal to Noise Ratio), BER (Bit Error Ratio).