TY - GEN
T1 - DOA estimation and beamforming using spatially under-sampled AVS arrays
AU - Krishnaprasad, N. R.
AU - Contino, Mario
AU - Chepuri, Sundeep Prabhakar
AU - Comesaña, Daniel Fernández
AU - Leus, Geert
N1 - KAUST Repository Item: Exported on 2022-06-30
Acknowledged KAUST grant number(s): OSR-2015-Sensors-2700
Acknowledgements: This work is supported in part by the ASPIRE project (project 14926 within the STW OTP programme), which is financed by the Netherlands Organization for Scientific Research (NWO) and the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700. Mario Coutino is partially supported by CONACYT.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2018/3/12
Y1 - 2018/3/12
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/679442
UR - http://ieeexplore.ieee.org/document/8313203/
UR - http://www.scopus.com/inward/record.url?scp=85051126812&partnerID=8YFLogxK
U2 - 10.1109/CAMSAP.2017.8313203
DO - 10.1109/CAMSAP.2017.8313203
M3 - Conference contribution
SN - 9781538612514
SP - 1
EP - 5
BT - 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
PB - IEEE
ER -