Work

Direction finding algorithms based on joint iterative subspace optimization

Year: 2014

Type: article

Abstract: In this paper, a reduced-rank scheme with joint iterative optimization is presented for direction of arrival estimation. A rank-reduction matrix and an auxiliary reduced-rank parameter vector are jointly optimized to calculate the output power with respect to each scanning angle. Subspace algorithms to estimate the rank-reduction matrix and the auxiliary vector are proposed. Simulations are performed to show that the proposed algorithms achieve enhanced performance over existing algorithms in the studied scenarios.

Source: IEEE Transactions on Aerospace and Electronic Systems

DOI: 10.1109/taes.2014.120395

Authors: Lei Wang, Rodrigo C. de Lamare, Martin Haardt

Institutions: Pontifícia Universidade Católica do Rio de Janeiro, University of York, Technische Universität Ilmenau

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1966440305

FWCI: 4.301

Cites: 41

Cited by: 53

Related to: 10