Abstract:
Multiple input and Multiple output communication systems (MIMO) as the name implies
makes use of multiple antennas at the transmitter and receiver and exploits the multipath
fading in the channel which is generally considered to be an impairment for single input and
single output (SISO) conventional communication channel due to various received multipath
components. Which differ in angle of arrival, time delays or frequency (i.e. Doppler spread).
As a result, the received signal fluctuates/fades in space, time and frequency through
superposition of these multipath components which subsequently cause severe degradation of
reliability and quality of received signal and impose constraints on high data rate for a
communication system. MIMO technology addresses both the issues of problems caused by
multipath fading in a conventional communication system as well as the constraints imposed
by resource available through multiple antennas at the transmitter and receiver by exploiting
the scattering in the environment to increase system capacity. Therefore in addition to time
and frequency dimension ordinarily exploited by conventional communication systems,
MIMO can also make use of spatial dimension. They are known to provide capacities many
times that of the conventional Shannon limit and in principle can attain spectrum efficiencies
in excess of tens of bits/sec/Hz especially. MIMO has been considered to provide a rather
significant breakthrough with rewarding prospects to provide high data rate demands for the
wireless industry and is ready to make its presence felt in standard driven industry products.
The Aim of the present project shall be to implement the MIMO Detectors. Data shall
be transmitted and received through the MIMO communication chain that shall incorporate
MIMO detection blocks. I i I
We make use of the Spatial multiplexing scheme to Implement MIMO
communication system. A thorough analysis of the MIMO Detectors like MMSE and ZF and
Maximum likelihood detector and we carried out the MATLAB simulation of the BER
performance versus SNR. Also implemented the maximum likelihood detector in C language
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using DSK 6713, which shall ratify the diversity advantage and capacity gains theoretically
perceived.
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