Direction-of-Arrival Estimation Using Signal Processing on Graphs

Joint Estimation of Azimuth and Distance for Far-Field Multi Targets Based on Graph Signal Processing

“…σ 2 i refers to the intensity coefficient of the i-th target echo signal. The significance of finding the covariance matrix for the echo signal is because the expression R xx contains information about multiple targets [9]. Multi-angle information and eigenvalue decomposition can be carried out.…”

“…Initialization: Transmit orthogonal signal vector S according to (9). Transmit steering vector C according to (8).…”

“…Graph signal processing uses a new data structure that studies the connection of things, which has shown excellent performance in many fields such as graph neural network and graph cuts [3]. Some related works can be found focusing on the use of graph signals to deal with DoA estimation problems in the radar array system [4][5][6], microphone and speakers [7,8], and the sonar array system [9]. Experiments show that the graph signal processing-based DoA methods have better performance than traditional algorithms such as Multiple Signal Classification (MUSIC) in a low signal-to-noise ratio environment [10,11].…”