2017/03/21 by Rodrigo C. de Lamare, de Lamare, R. C.
Computer Science · #Blind Source Separation Techniques #Direction-of-Arrival Estimation Techniques #FOS: Mathematics #Numerical Analysis (math.NA) #Speech and Audio Processing
paper · pdf · doi:10.48550/arxiv.1703.10523
openalex publication_date 2017/03/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 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.