Direction of Arrival Estimation using MUSIC and ESPRIT Algorithms for Wireless Sensor Network
Ousmane Abdoulaye Oumar, Ming Fei Siyau, Tariq P. Sattar
Journal of E-Technology, Vol. 3, No. 4, 2012.
DOI: 
Link: http://www.dline.info/jet/fulltext/v3n4/4.pdf
Abstract:
The accurate estimation of direction of interest which is also known as Direction of Arrival (DOA) of the incident signals is very significant to produce beam form antenna. There are several algorithms that have the ability to calculate the DOA of the incident signals. In this paper, we investigate and compare Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithms in terms of the Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength (RSS). MUSIC and ESPRIT algorithms are attractive solution to many parameter estimation problems. The performance of DOA using MUSIC and ESPRIT algorithm are analyzed on many parameters such number of users, number of snapshots, and number of array elements, user space distribution and SNR. MATLAB simulations indicate that both algorithms provide high resolution but the MUSIC algorithm is more accurate and stable compared to the ESPRIT algorithm.