{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:31:37Z","timestamp":1760243497125,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2013,4,19]],"date-time":"2013-04-19T00:00:00Z","timestamp":1366329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, we combine the acoustic vector-sensor array parameter estimation problem with the parallel profiles with linear dependencies (PARALIND) model, which was originally applied to biology and chemistry. Exploiting the PARALIND decomposition approach, we propose a blind coherent two-dimensional direction of arrival (2D-DOA) estimation algorithm for arbitrarily spaced acoustic vector-sensor arrays subject to unknown locations. The proposed algorithm works well to achieve automatically paired azimuth and elevation angles for coherent and incoherent angle estimation of acoustic vector-sensor arrays, as well as the paired correlated matrix of the sources. Our algorithm, in contrast with conventional coherent angle estimation algorithms such as the forward backward spatial smoothing (FBSS) estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm, not only has much better angle estimation performance, even for closely-spaced sources, but is also available for arbitrary arrays. Simulation results verify the effectiveness of our algorithm.<\/jats:p>","DOI":"10.3390\/s130405302","type":"journal-article","created":{"date-parts":[[2013,4,19]],"date-time":"2013-04-19T11:00:47Z","timestamp":1366369247000},"page":"5302-5316","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A PARALIND Decomposition-Based Coherent  Two-Dimensional Direction of Arrival Estimation  Algorithm for Acoustic Vector-Sensor Arrays"],"prefix":"10.3390","volume":"13","author":[{"given":"Xiaofei","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"},{"name":"Nanjing Panda Electronics Group, Nanjing 210008, China"},{"name":"Laboratory of Modern Acoustic of Ministry of Education, Nanjing University,  Nanjing 210093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianfeng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2013,4,19]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Acoustic vector sensor signal processing","volume":"25","author":"Sun","year":"2006","journal-title":"Chin. 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