An Experimental Analysis of MVDR and MUSIC Algorithm
Vinod Kumar1, Sanjeev Kumar Dhull2

1Vinod Kumar,Assistant Professor, Department of Electronics & Communication Engineering, Gjus&t, Hisar, Haryana India.

2Sanjeev Kumar Dhull Assistant Professor, Department of Electronics & Communication Engineering, Gjus&t, Hisar, Haryana India.

Manuscript received on 08 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 08 July 2019 | PP: 415-417 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H11020688S319/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper shows a experimental analysis of between MVDR algorithm (Minimum Variance Distortionless Response) and MUSIC (Multiple Signal classification) algorithm. These algorithms are used in direction findings for smart antenna. This paper shows the comparison between these algorithms based on the certain parameters like total no. of antennas, spacing between them, number of snapshot. At last, the Results obtained from MUSIC algorithm has been found better than MVDR algorithm.

Keywords: MUSIC, MVDR, Snapshot, Smart Antenna.
Scope of the Article: Algorithm Engineering