TY  - JOUR
IS  - 23
ID  - eprints8451
SN  - 0973-4562
EP  - 11541
AV  - public
KW  - Multiple Input Multiple Output (MIMO)
KW  - 
Multiple Input Single Output (MISO)
KW  -  Single Input Single
Output (SISO)
KW  -  Least Square Channel Estimation (LS)
KW  - 
Minimum Mean Square Error Channel Estimation (MMSE)
KW  - 
Space-Time Block Code (STBC)
JF  - International Journal of Applied Engineering Research
N2  - In this paper, various channel estimation, interpolation and
equalization techniques used in the analysis of MIMO
configurations or formats are compared and the technique
with the optimum performance determined. The channel
estimation of these configurations were determined by
modelling and simulating them in a wireless environment
using MATLAB software. The figure of Merits used are the
BER and MSE as a function of the SNR. The study revealed
that MIMO is a more energy efficient technique since it
achieved a good BER performance at lower transmit SNR,
when compared to the MISO and SISO which requires higher
SNR to achieve at same BER performance. This is as a result
of the diversity and multiplexing gain experienced in the
multiple antenna techniques using the STBC
PB  - Research India Publications
Y1  - 2016///
VL  - 11
A1  - Okokpujie, Kennedy O.
A1  - Okoyeigbo, Obinna
A1  - Okhaifoh, J. E.
A1  - Osemwegie, Omoruyi
A1  - Nkordeh,  Nsikan
SP  - 11537
TI  - Performance Analysis and Modeling of MIMO Systems
UR  - http://www.ripublication.com
ER  -