Estimation of Direction of Arrival for Antenna Array Based on ESPRIT and Multiple Signal Classification Algorithms

Abstract

Antenna array plays a great role in many fields such as direction finding, radar, and mobile communication. The manipulation of signals induced by antenna elements using Direction of Arrival (DOA) estimation techniques will provide accurate location information of the radiating sources. Many methods were used to estimate DOA; however, we chose the best for high angular resolution subspace such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rational Invariance Techniques (ESPRIT) algorithms. Both algorithms have been developed and their DOA estimation performance numerically evaluated using MATLAB with array parameters including the number of snapshots, Signal-to-Noise ratio (SNR), number of array elements, and array element spacing have also been evaluated and compared. The simulation compares the performance between both algorithms at DOAs of 20° and 60°. The result shows that the MUSIC algorithm obtained better estimation accuracy at both DOAs compared to the ESPRIT algorithm by 12.78 dB and 7.78 dB respectively using 100 array elements.