2013/08/01 by Xin Yuan, Yuan, Xin · 2 citations
Computer Science · Engineering · Mathematics · #Algorithm #Applications (stat.AP) #Combinatorics #Computer science #Dipole #Direction cosine #Direction of arrival #Direction-of-Arrival Estimation Techniques #Eigenvalues and eigenvectors #FOS: Computer and information sciences #Geometry #Indoor and Outdoor Localization Technologies #Mathematics #Physics #Polarization (electrochemistry) #Speech and Audio Processing #Telecommunications #Topology (electrical circuits) #stat.AP
paper · pdf · doi:10.48550/arxiv.1308.0072
published in arXiv (Cornell University) (Cornell University) · 17 pages, 5 figures
arxiv created 2013/08/01 · openalex publication_date 2013/08/01 · arxiv updated 2013/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
This paper introduces an ESPRIT-based algorithm to estimate the directions-of-arrival and polarizations for multiple sources. The investigated algorithm is based on new sparse array geometries, which are composed of three non-collocating dipole triads or three non-collocating loop triads. Both the inter-triad spacings and the inter-sensor spacings in the same triad can be far larger than a half-wavelength of the incident sources. By adopting the ESPRIT algorithm, the eigenvalues of the data-correlation matrix offer the fine but ambiguous estimates of the direction-cosines for each source, and the eigenvectors provide the estimates of each source's steering vector. Based on the constrained array geometries, the fine and unambiguous estimates of directions-of-arrival and polarizations are obtained. Simulation results verify the efficacy of the investigated approach and also verify the aperture extension property of the proposed array geometries.