GSP-based DoA estimation for a multimission radar

Abstract

A multimission radar (MMR) is employed on a wide range of civilian and military missions. The accuracy of the direction of arrival (DoA) estimation of MMR systems is an important issue when locating targets. In this work, a new approach to DoA estimation based on Graph Signal Processing (GSP) is applied to data from a multimission radar. A comparison of the GSP is carried out with classic DoA estimation algorithms, including Delay and Sum, Capon, and Multiple Signal Classification (MUSIC). A short aircraft trajectory is considered as a reference for estimating parameters such as DoA in azimuth, range and radial velocity, both for simulated and real-life signals. DoA in elevation is estimated for simulated data, considering the MMR architecture and target characteristics. Simulation results have shown that the proposed method achieves estimations with competitive accuracy in comparison to classical DoA estimation methods.

Graph Signal Processing for Narrowband Direction of Arrival Estimation

“…Direction of arrival (DOA) estimation is a classic array signal processing problem and has been solved by various methods, such as MUSIC, ESPRIT and sparsity based ones [8]- [10]. Recently, based on the graph Fourier transform, a directed graph was built to represent characteristics in the spatial domain, and the relationship between eigenvectors of the adjacency matrix and the input angle for DOA estimation is derived in [11]. On top of this, by adding an adjacency matrix representing the time domain, the estimation accuracy is improved by combining signals from different snapshots [12].…”

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

“…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].…”