DocumentCode :
3401232
Title :
Enhanced DOA estimation algorithms using MVDR and MUSIC
Author :
Hakam, Ardeshir ; Shubair, Raed M. ; Salahat, Ehab
Author_Institution :
Electr. & Comput. Eng. Dept., Khalifa Univ., Abu-Dhabi, United Arab Emirates
fYear :
2013
fDate :
11-12 Dec. 2013
Firstpage :
172
Lastpage :
176
Abstract :
This paper introduces a comparative study between two algorithms for Direction-of-Arrival (DOA) estimation which are MVDR (Minimum Variance Distortionless Response) and MUSIC (Multiple Signal classification). The used algorithms are used for Direction-of-Arrival (DOA) estimation in smart antenna. The paper presents a comparative study for both algorithms in terms of the total mobile users number, effect of signal parameters, spacing between adjacent elements, and number of snapshots. It is proven that MUSIC has better performance than MVDR algorithm. MUSIC algorithm is more effective and introduces more enhancing performance.
Keywords :
adaptive antenna arrays; direction-of-arrival estimation; signal classification; MUSIC; MVDR; direction-of-arrival estimation; enhanced DOA estimation algorithms; minimum variance distortionless response; mobile users; multiple signal classification; signal parameters; smart antenna; Abstracts; Direction-of-arrival estimation; Multiple signal classification; Noise; Parallel processing; Sensor arrays; Antenna; DOA; MUSIC; MVDR; SNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Current Trends in Information Technology (CTIT), 2013 International Conference on
Conference_Location :
Dubai
Type :
conf
DOI :
10.1109/CTIT.2013.6749497
Filename :
6749497
Link To Document :
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