Direction of arrival estimation and tracking

Abstract

Directions of arrival (DoA) estimation in array signal processing is an active researcharea with various applications in wireless communications, radar, sonar, speech,navigation, seismology and other fields. When directions of arrival are time-varying, due to moving sources, approaches such as the MUltiple SIgnal Classification (MUSIC) method and the Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm fail in providing correct estimates, because the latterassume constant DoAs. This project addresses the problem of estimating timevarying directions of arrival. It introduces four approaches: the first one relies on the instantaneous frequency concept, the second and third ones extend the classical methods to the non-stationary case and the last one is based on subspace decomposition, respectively.