Print Email Facebook Twitter Direction-of-Arrival Estimation using an Unsynchronized Array Of Acoustic Vector Sensors Title Direction-of-Arrival Estimation using an Unsynchronized Array Of Acoustic Vector Sensors Author Coonen, Bart (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Microelectronics) Contributor Leus, G.J.T. (mentor) Nambur Ramamohan, K. (mentor) Degree granting institution Delft University of Technology Programme Electrical Engineering | Circuits and Systems Date 2018-05-22 Abstract Direction-Of-Arrival (DOA) estimation of acoustic signals is of great interest in various applications including battlefield acoustic and noise localization. Acoustic sensors are employed in an array configuration to estimate DOAs based on the time differences of arrival DOAs. However, the acoustic sensors in the network have all their own Data AcQuisition (DAQ) unit with independent clocks than, it might not be possible to perfectly synchronize the network which affects the performance of the time differences of arrival reliably.In this thesis we consider the issue of clock synchronization errors in a network where Acoustic Vector Sensors (AVSs) are used. AVSs are shown to be advantageous in terms of direction finding compared to conventional Acoustic Pressure Sensors (APSs) due to their directional particle velocity measurement capability. Initiallity the measurement model for AVSs is presented. After that the behavior of the clocks is incorporated in the measurement model of the full array setup. Subsequently, the effects of the clocks on the MVDR DOA estimation method is discussed. The model with clock errors is used in the development of three new DOA-estimation methods. The first two techniques are eigenstructure methods that are capable of finding the DOAs regardless of the accuracy of the synchronization. However, to find the DOAs with high accuracy in a real-time application these methods are not due to their high computational cost. Alternatively, the third proposed algorithm takes the DOA estimate from previous methods with low accuracy as its input. The algorithm estimates the DOA in an iterative fashion with high accuracy based on these estimates with low accuracy.Finally, measurements are conducted in a controlled environment in order to show that these methods are usable in practical situations. Subject Msc ThesisDOAAVSarrayphase errors To reference this document use: http://resolver.tudelft.nl/uuid:48360c32-ca75-4ab1-80ba-915a6642c3f3 Embargo date 2023-05-14 Part of collection Student theses Document type master thesis Rights © 2018 Bart Coonen Files PDF thesis.pdf 10.44 MB Close viewer /islandora/object/uuid%3A48360c32-ca75-4ab1-80ba-915a6642c3f3/datastream/OBJ/view