Combining Genetic Algorithm and Direction of Arrival for MIMO Wireless Communication System†

Hussein Miry, Mohammed; Ghaida A. AL-Suhail, Dr.

	Combining Genetic Algorithm and Direction of Arrival for MIMO Wireless Communication System†
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING
Article 1, Volume 15, Issue 2, 2015, Pages 58-64
Authors
Mohammed Hussein Miry; Dr. Ghaida A. AL-Suhail
Abstract
Abstract—In the next generation of wireless communications, Multiple Input Multiple Output (MIMO) communication system will be a key technology to enhance the communication efficiency. The popular method for estimating the direction of arrival of sources impinging on an array of MIMO sensors is Multiple Signal Classification (MUSIC) method which is a problem of great interest in MIMO communication system. The iterative searching technique has been shown more likely to converge to a local maximum, causing errors in Direction of arrival (DOA) estimation. A new system is proposed to estimate direction of arrival of sources for Multiple Input Multiple Output (MIMO) communication system by combining Genetic Algorithm and (MUSIC) method. In the proposed model, by using Genetic algorithm the direction of arrival angles can be selected automatically good response by fast convergence, efficiency and yield more accuracy to estimate the direction of arrival of the sources over existing conventional spectral searching methods which is shown by the result of computer simulation for proposed system. The important feature of new system is that, it is observed that Genetic Algorithm (GA) combined with MUSIC method is a powerful alternative in online DOA estimation
Keywords
Multiple Input Multiple Output; genetic algorithm; multiple signal classification

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