Two-Step Knowledge-Aided Iterative ESPRIT Algorithm
Conference: WSA 2017 - 21th International ITG Workshop on Smart Antennas
03/15/2017 - 03/17/2017 at Berlin, Deutschland
Proceedings: WSA 2017
Pages: 5Language: englishTyp: PDF
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Authors:
Pinto, Silvio F. B. (Pontifical Catholic University of Rio de Janeiro, RJ, Brazil)
Lamare, Rodrigo C. de (Pontifical Catholic University of Rio de Janeiro, RJ, Brazil & Department of Electronics, University of York, UK)
Abstract:
In this work, we propose a subspace-based algorithm for direction-of-arrival (DOA) estimation, referred to as two-step knowledgeaided iterative estimation of signal parameters via rotational invariance techniques (ESPRIT) method (Two-Step KAI-ESPRIT), which achieves more accurate estimates than those of prior art. The proposed Two-Step KAI-ESPRIT improves the estimation of the covariance matrix of the input data by incorporating prior knowledge of signals and by exploiting knowledge of the structure of the covariance matrix and its perturbation terms. Simulation results illustrate the improvement achieved by the proposed method.