A Developed ESPRIT Algorithm for DOA Estimation

A Developed ESPRIT Algorithm for DOA Estimation Abstract A novel algorithm for estimating direction of arrival (DOAE) for target, which aspires to contribute to increase the estimation process accuracy and decrease the calculation costs, has been carried out. It has introduced time and space multiresolution in Estimation of Signal Parameter via Rotation Invariance Techniques (ESPRIT) method (TS-ESPRIT) to realize subspace approach that decreases errors caused by the model’s nonlinearity effect. The efficacy of the proposed algorithm is verified by using Monte Carlo simulation, the DOAE accuracy has evaluated by closed-form Cramér–Rao bound (CRB) which reveals that the proposed algorithm’s estimated results are better than those of the normal ESPRIT methods leading to the estimator performance enhancement. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Frequenz de Gruyter

A Developed ESPRIT Algorithm for DOA Estimation

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Publisher
de Gruyter
Copyright
Copyright © 2015 by the
ISSN
0016-1136
eISSN
2191-6349
D.O.I.
10.1515/freq-2014-0112
Publisher site
See Article on Publisher Site

Abstract

Abstract A novel algorithm for estimating direction of arrival (DOAE) for target, which aspires to contribute to increase the estimation process accuracy and decrease the calculation costs, has been carried out. It has introduced time and space multiresolution in Estimation of Signal Parameter via Rotation Invariance Techniques (ESPRIT) method (TS-ESPRIT) to realize subspace approach that decreases errors caused by the model’s nonlinearity effect. The efficacy of the proposed algorithm is verified by using Monte Carlo simulation, the DOAE accuracy has evaluated by closed-form Cramér–Rao bound (CRB) which reveals that the proposed algorithm’s estimated results are better than those of the normal ESPRIT methods leading to the estimator performance enhancement.

Journal

Frequenzde Gruyter

Published: May 25, 2015

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