DocumentCode :
702784
Title :
An approach to minimize ber using hybrid equalization technique in MIMO-OFDM system
Author :
Randhawa, Navdeep Singh ; Sharma, Shally ; Sharma, Deepak
Author_Institution :
Dept. of Electron. & Commun., Punjab Inst. of Technol., Jalandhar, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
5
Abstract :
The utilization of the combination of multiple antennas with the orthogonal frequency division multiple access technique called the MIMO-OFDM in wireless communication has improved the spectral efficiency and the coverage area. In wireless communication systems like MIMO-OFDM, the channel for the transmission of information could be varied quickly with time and may result in the loss of orthogonality of information signal causing ISI or overlapping of the signal bits. This would increase the bit error rate and the system performance degrades. Looking on this perspective, we proposed an idea of building an equalizer which would minimize this ISI and the corresponding BER. We make the use of existing linear and nonlinear equalizers from the literature and propose a combination of these two kinds by hybridizing the MMSE, SIC, MRC, MLSE equalizers. The proposed equalizer simulations would be performed in MATLAB along with use of GUI so as to check the error rate at different values of SNR making it user friendly and would result in minimized BER at improved SNR with high receiver diversity.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; equalisers; error statistics; graphical user interfaces; intersymbol interference; maximum likelihood sequence estimation; radiofrequency interference; BER minimization; GUI; ISI minimization; MIMO-OFDM system; MLSE equalizer; MMSE equalizer; MRC equalizer; SIC equalizer; SNR values; bit error rate; coverage area improvement; graphical user interface; hybrid equalization technique; linear equalizer; multiple antennas; nonlinear equalizer; orthogonal frequency division multiple access technique; spectral efficiency improvement; system performance; wireless communication systems; Bit error rate; Equalizers; Maximum likelihood estimation; Receiving antennas; Signal to noise ratio; Wireless communication; BER; MIMO-OFDM; MLSE; MRC; ZF;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087198
Filename :
7087198
Link To Document :
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