A Graph Signal Processing Approach to Direction of Arrival Estimation
Leandro Arantes Moreira, António L. L. Ramos, Marcello L. R. de Campos, José A. Apolinário, Felipe G. Serrenho · 2019
This work presents a new approach, based on Graph Signal Processing, to estimate the direction of arrival (DoA) of an incoming narrowband signal hitting on an array of sensors. By building directed graphs related to both a uniform linear sensor array and a time series representing the signal at each sensor, we use the concepts of graph product and graph Fourier transform to form an objective function from the coefficients of the signal represented in an eigenvectors basis. Simulation results have shown that the method achieves estimations with competitive precision in comparison to classical DoA estimation methods, and good results being obtained even in presence of multipath and interfering. The proposed method is suitable for parallel implementations and its computational complexity tends to decrease when used repeatedly.