Adaptive Beam Forming Algorithms for MIMO Antenna
A. Arunitha1, T. Gunasekaran2, N. Senthil Kumar3, N. Senthilvel4

1A. Arunitha, PG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, Namakkal, TamilNadu, India.
2Dr. T. Gunasekaran, Prof., Department of ECE, Vivekanandha College of Engineering for Women, Namakkal, TamilNadu, India.
3N. Senthil Kumar, Assoc. Prof., Department of ECE, Vivekanandha College of Engineering for Women, Namakkal, TamilNadu, India.
4N. Senthilvel, Assoc. Prof., Department of ECE, Vivekanandha College of Engineering for Women, Namakkal, TamilNadu, India.
Manuscript received on 15 January 2015 | Revised Manuscript received on 21 January 2015 | Manuscript Published on 30 January 2015 | PP: 9-12 | Volume-4 Issue-8, January 2015 | Retrieval Number: H1948014815/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: MIMO antenna is a combination of multiple antenna elements. It has a signal processing capability to optimize its radiation reception pattern which automatically change in response to the signal environment. This paper provides comprehensive review on various evolutionary algorithms which are used for adaptation. The weights of the smart antenna array are adapted to maximize the output in desired direction and minimize the signals in undesired direction. Adaptive beam forming algorithm is used for track corresponding users automatically. This paper discuss about Non-blind beam forming algorithm i.e.. Least Mean Square, and Blind beam forming algorithm i.e.. Constant Modulus Algorithm and Sample Matrix Inversion. The algorithms are simulated for MIMO environment by using MATLAB. Beam forming can be used for either radio or sound waves. It has found numerous applications in radar, sonar, seismology, wireless communication, radio astronomy, speech and biomedicine.
Keywords: Smart antenna, Beam forming, Least Mean Square, Constant Modulus Algorithm , Sample Matrix Inversion.

Scope of the Article: MIMO antenna