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.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
| Place of Publication | Piscataway |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-5386-1251-4 |
| ISBN (Print) | 978-1-5386-1252-1 |
| DOIs | |
| Publication status | Published - Dec 2017 |
| Event | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Willemstad, Curaçao Duration: 10 Dec 2017 → 13 Dec 2017 Conference number: 7 http://www.cs.huji.ac.il/conferences/CAMSAP17/ |
Workshop
| Workshop | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing |
|---|---|
| Abbreviated title | CAMSAP |
| Country/Territory | Curaçao |
| City | Willemstad |
| Period | 10/12/17 → 13/12/17 |
| Internet address |
Keywords
- acoustic vector sensor (AVS)
- Cramér-Rao lower bound (CRLB
- direction-of-arrival (DOA)
- far-field narrow-band acoustic sources
- spatial under-sampling