Freeware Listing: Alamouti

This is a function that simulate the Alamouti Space-Time scheme and plot a BER vs SNR graph..

  • Platform: Matlab, Scripts

ALAMOUTI performs Monte-Carlo simulation and estimates Bit Error Rate (BER) of Alamouti Scheme [1] over Rayleigh channel. The scheme presumes 2 transmit (Tx) and arbitrary number of receive (Rx) elements. If Rx=1 (one receive element) the ALAMOUTI is transformed to the order 2 transmit diversity scheme with Maximum Ratio Combining (MRC). The modulation format is MPSK with arbitrary order M which can be controlled by user. The simulation parameters are entered using the built graphic user interface (GUI) and contains: 1. Number of pair symbols from both Tx elements to be transmitted: N. This number should be at least 10 times more that the expected 1/BER to provide low estimation error.

  • Publisher: G. Levin
  • Date: 25-06-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

Space time coding takes profit of the channel diversity to improve the reliability of a communication system. This file contains some of the most famous space time block codes. References: [1] S.M Alamouti " A simple transmitter diversity scheme for wireless communications" IEEE J.Select Areas Communication vol 16,October 1998 [2] V.Tarokh "Space Time BLock Codes from Orthogonal Designs" IEEE Transactions on Information theory, vol 45, July 1999 [3] G.Ganesan and P. Stoica "Space time Block Codes: A Maximum SNR approach", IEEE Transactions on Information Theory, vol 47, may 2001. [4] I. Jafarkhani: "A Quasi Orthogonal Space Time Block Code" IEEE Transactions Letters on Communications, Vol.

  • Platform: Matlab, Scripts

NOTE: Though I have uploaded this toolbox, I have no contribution in this work. Programming and research in this field has been done by students given below Kapil Gulati, Marcel Nassar, Aditya Chopra, Marcus DeYoung, Arvind Sujeeth, and Navid Aghasadeghi. It is composed of various functions used to generate various types of noise statistics and to perform noise cancellation and detection.The current version (ver 1.2.1 ) supports the generation of Middleton Class A, Symmetric Alpha Stable, and the bivariate Middleton Class A random variables. For the evaluation of communication performance under the presence of the aforementioned noise types, the current version (ver 1.

  • Platform: Matlab, Scripts

Alamouti: Freeware | All

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