Simulation of a Multiple Input Multiple Output (MIMO) system using various Space Time Coding (STC) techniques in LabVIEW
(Undergraduation Major Project Thesis)

Click Here to  view the top level graphical user interface of the MIMO Simulation Model.

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Download the stand-alone software developed as a part of the undergraduate thesis.

Required: LabVIEW Runtime Engine 2009 or later

MIMO Simulation Model.rar MIMO Simulation Model.rar
Size : 2.351 Kb
Type : rar

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Spatial Multiplexing

Posted by Ujjval Shah on Friday, April 3, 2009 In : Theory 
Till now most of the concentration was on diversity gains achieved by using both transmit and receive antennas in a multiple-input multiple-output (MIMO) channel. However, multiple transmit antennas can be utilized to achieve other goals as well. A higher capacity and as a result a higher transmission rate is possible by increasing the number of transmit antennas. Assume a MIMO channel with equal number of transmit and receive antennas. Then in a rich scattering environment the capacity incre...

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Alamouti Encoding with RX Diversity (MRC), BER Curves

Posted by Ujjval Shah on Saturday, March 28, 2009 In : Simulation 
The following result is for Alamouti Encoding with RX diversity using Maximal Ratio Combining technique at the Recevier

Following curves are the expected theoretical curves for various different TX and RX antennas.
The dotted curve for Na=4 is the curve to be compared with the above simulated curve.

Following is a quick comparison of all the three curves simulated till now:



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RX Diversity

Posted by Ujjval Shah on Saturday, March 28, 2009 In : Theory 
RX Diversity means to have multiple antennas at the receiver.

There are basically three types of method to obtain RX Diversity:

  1. Selection Combining (SC): Here the receiver selects the best branch of all the receiver antennas and decodes the signal coming from that antenna. It is suboptimal and doesnt utilizes the energy of the signals from the other antennas.
  2. Maximal Ratio Combining (MRC): Here, the limitation of the SC technique is removed. In MRC, signals from all the antennas are weighted app...

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UpConversion DownConversion Effect

Posted by Ujjval Shah on Tuesday, March 24, 2009 In : Simulation 
How does the inclusion of upconversion and downconversion affect the simulation results and upto what extent do they affect? 

As of now it is observed that for a set of same given symbol rate, samples per symbol, no of message symbols and other parameters the BER curves for the simulation using upconversion and downconversion and the one without using them are almost the same.



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BER Curves for Alamouti scheme, high symbol rate

Posted by Ujjval Shah on Tuesday, March 24, 2009 In : Simulation 
As mentioned in previous posts, those curves were plotted at a symbol rate varying from 2-10Hz.
The published ones are plotted at 2bits/sec ie 1symbol/sec for QPSK. 

In all the curves shown till now, none of them match exactly to the published ones.

However it is observed that as the symbol rate is gradually increased, the simulated curve tends to become more and more similar to the published ones.

Consider following values:
symbol rate =500
no of samples per symbol =8
no of symbols =5k
doppler ...

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