Paper Info
Title
Relationship between direction of arrival estimation with MUSIC algorithm and number of array elements
Abstract
Direction of arrival (DOA) estimation has been a vital area of research since few decades due to its importance in applications like wireless communication, navigation radar, sonar etc. The resolution being one of the main challenges in the direction of arrival estimation can be enhanced by array antenna system with reliable signal processing. In this paper we simulate the high resolution subspace based DOA algorithm called Multiple Signal Classification (MUSIC) on a uniform linear array in the presence of ideal white Gaussian noise. This paper provides the relation between DOA estimation and number of array elements using MUSIC algorithm. MUSIA methods give more accurate and smooth resolution of the signals.
Year
DOI
Venue
2015
10.1109/ICTC.2015.7354485
2015 International Conference on Information and Communication Technology Convergence (ICTC)
Keywords
Field
DocType
DOA,MUSIC algorithm,Number of array elements
Radar,Computer vision,Signal processing,Subspace topology,Computer science,Direction of arrival,Sensor array,Angle of arrival,Sonar,Speech recognition,Artificial intelligence,Additive white Gaussian noise
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
prabesh paudel100.34
jooseong oh200.34
jong sang back300.68
Jeong, M.A.401.35
Seong Ro Lee515226.32