ESPRIT-estimation of signal parameters via rotational invariance techniques

Adaptive ESPRIT algorithm based on the PAST subspace tracker

The Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithm is a subspace-based analysis method used in source localization or frequency estimation, originally designed in a block signal processing context. In other respects, the Projection Approximation Subspace Tracker (PAST) is a fast and robust subspace tracking method. This paper introduces a new frequency e...

MUSIC for Single-Snapshot Spectral Estimation

Single-snapshot line spectral estimation is carried out with one compressed sensing technique, Band-excluding Locally Optimized Orthogonal Matching Pursuit (BLOOMP), and two subspace-based methods, Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). Simulations show that for separation greater than 3 RL, BLOOMP is the best pe...

Report on Two-Step Knowledge-Aided Iterative ESPRIT Algorithm

In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation, referred to as two-step knowledge-aided iterative estimation of signal parameters via rotational invariance techniques (ESPRIT) method (Two-Step KAIESPRIT), which achieves more accurate estimates than those of prior art. The proposed Two-Step KAI-ESPRIT improves the estimation of the covariance matrix...

Direction-of-Arrival Estimation with Coarray ESPRIT for Coprime Array

A coprime array is capable of achieving more degrees-of-freedom for direction-of-arrival (DOA) estimation than a uniform linear array when utilizing the same number of sensors. However, existing algorithms exploiting coprime array usually adopt predefined spatial sampling grids for optimization problem design or include spectrum peak search process for DOA estimation, resulting in the contradic...

Identification of Combined Power Quality Disturbances Using Singular Value Decomposition (SVD) and Total Least Squares-Estimation of Signal Parameters via Rotational Invariance Techniques (TLS-ESPRIT)

Abstract: In order to identify various kinds of combined power quality disturbances, the singular value decomposition (SVD) and the improved total least squares-estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT) are combined as the basis of disturbance identification in this paper. SVD is applied to identify the catastrophe points of disturbance intervals, based o...

Esprit Wg 24512 Coordina — from Coordination Models to Applications Esprit Wg 24512 — Coordina Final Report