Print Email Facebook Twitter Acoustic Vector Sensor Based Source Localization Title Acoustic Vector Sensor Based Source Localization Author Krishnaprasad, N.R. Contributor Leus, G.J.T. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Microelectronics Programme Circuits and Systems Date 2016-06-23 Abstract The conventional techniques to estimate the Direction-of-Arrival (DOA) of acoustic sources includes employing multiple Acoustic Pressure Sensors (APSs) in an array configuration. Recently with the advent of MEMS technology, the sensors are capable of capturing acoustic particle velocity along with acoustic pressure and these sensors are referred to as Acoustic Vector Sensors (AVSs). In order to capture the velocity field information, AVSs contain two (three) vector sensors which are aligned along corresponding coordinate axes in the two (three) dimensional acoustic space. Based on narrow-band processing techniques and for a single far-field source scenario, we discuss the advantages obtained by an AVS array in comparison to a conventional APS array based on their respective beam patterns. Later the discussion is extended to a configuration where each AVS in the array contains only one vector sensor (which measures one component of the vector field), such that it can have a variable orientation, and a pressure sensor, which is referred to as a 1D AVS. We discuss the similarities and differences between 2D AVS arrays and 1D AVS arrays through beam patterns. Also we discuss the bias in the source location estimate obtained by using a 1D AVS array. Further we derive Cramer-Rao bounds for 2D AVS, 1D AVS and APS array configurations. Finally we compare the performance of 1D AVS arrays and 2D AVS arrays in the covariance domain in terms of the localization of quasi-stationary sources. To reference this document use: http://resolver.tudelft.nl/uuid:cfd81ca7-e44c-4d0d-8680-a9150f9d1162 Embargo date 2016-06-23 Part of collection Student theses Document type master thesis Rights (c)2016 Krishnaprasad, N.R. Files PDF thesis_KPNR_latest.pdf 11.93 MB Close viewer /islandora/object/uuid:cfd81ca7-e44c-4d0d-8680-a9150f9d1162/datastream/OBJ/view