Literature DB >> 23556569

Azimuth-elevation direction finding using a microphone and three orthogonal velocity sensors as a non-collocated subarray.

Yang Song1, Kainam Thomas Wong.   

Abstract

An acoustic vector-sensor consists of three identical but orthogonally oriented acoustic particle-velocity sensors, plus a pressure sensor-all spatially collocated in a point-like geometry. At any point in space, this tri-axial acoustic vector-sensor can sample an acoustic wavefield as a 3 × 1 vector, instead of simply as a scalar of pressure. This vector, after proper self-normalization, would indicate the incident wave-field's propagation direction, and thus the incident emitter's azimuth-elevation direction-of-arrival. This "self-normalization" direction-of-arrival estimator is predicated on the spatial-collocation among the three particle-velocity sensors and the pressure-sensor. This collocation constriction is relaxed here by this presently proposed idea, to realize a spatially distributed acoustic vector-sensor, allowing its four component-sensors to be separately located. This proposed scheme not only retains the algorithmic advantages of the aforementioned "self-normalization" direction-of-arrival estimator, but also will significantly extend the spatial aperture to improve the direction-finding accuracy by orders of magnitude.

Mesh:

Year:  2013        PMID: 23556569     DOI: 10.1121/1.4792149

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  1 in total

1.  Modified particle filtering algorithm for single acoustic vector sensor DOA tracking.

Authors:  Xinbo Li; Haixin Sun; Liangxu Jiang; Yaowu Shi; Yue Wu
Journal:  Sensors (Basel)       Date:  2015-10-16       Impact factor: 3.576

  1 in total

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