Analysis of LMS, NLMS and MUSIC Algorithms for Adaptive Array Antenna System
D. B. Salunke1, R. S. Kawitkar2
1Mr. D.B. Salunke, Research Scholar, JJT University, Jhunjhunu, Rajasthan, India.
2Dr. R. S. Kawitkar, Professor E&TC Dept. Singhad COE, Wadgoan (Bk.) Pune. India.
Manuscript received on January 22, 2013. | Revised Manuscript received on February 12. 2013 | Manuscript published on February 28, 2013. | PP: 130-133 | Volume-2 Issue-3, February 2013. | Retrieval Number: C1035022313 /2013©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: As technology developed this decade proves communication is the most important factor for the data interchange. Smart antennas have been considered to be one of the most demanding communication technologies. It adapted as most demanding technology because of high-bit rate or high quality in broadband commercial wireless communication. Direction-of-arrival (DOA) estimation is based on the MUSIC algorithm for identifying the directions of the source signals incident on the sensor array comprising the smart antenna system. Adaptive beam forming is achieved using the LMS algorithm for directing the main beam towards the desired source signals and generating deep nulls in the directions of interfering signals. The smart antenna system designed involves a hardware part which provides real data measurements of the incident signals received by the sensor array. Results obtained verify the improved performance of the smart antenna system when the practical measurements of the signal environment surrounding the sensor array are used. This takes the form of sharper peaks in the MUSIC angular spectrum and deep nulls in the LMS array beam pattern.
Keywords: Smart antenna, Angle of arrival, LMS, NLMS and MUSIC.