DOA Estimation and Beamforming Using Spatially Under-Sampled AVS Arrays

Conference paper (2017)

Authors

K. Nambur Ramamohan Signal Processing Systems - EEMCS , Microflown Technologies
M. Coutino Signal Processing Systems - EEMCS
S.P. Chepuri Signal Processing Systems - EEMCS
D. Fernandez Comesana Microflown Technologies
G. Leus Signal Processing Systems - EEMCS
Research Group
Signal Processing Systems (EEMCS) (TU Delft)
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Published Date

2017-12

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

In this paper, we show the advantages of spatially under-sampled acoustic vector sensor (AVS) arrays over conventional acoustic pressure sensor (APS) arrays for performing direction-of-arrival (DOA) estimation and interference cancellation. We provide insights into the theoretical performance of an under-sampled AVS array with respect to its DOA estimation performance using the Cramér-Rao lower bound (CRLB). We also show that the minimum variance distortionless response (MVDR) beamformer suppresses the grating lobes considerably as compared to the classical (or Bartlett) beamformer leading to unambiguous DOA estimates. Finally, through zero-forcing (ZF) and minimization of maximum side lobe beamformers, the advantages of an under-sampled AVS array for interference cancellation are presented.

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