Underwater sources location in non-Gaussian impulsive noise environments
Digital Signal Processing
Acoustic vector-sensor beamforming and Capon direction estimation
IEEE Transactions on Signal Processing
Identifiability in array processing models with vector-sensorapplications
IEEE Transactions on Signal Processing
Performance bounds for estimating vector systems
IEEE Transactions on Signal Processing
Wideband source localization using a distributed acoustic vector-sensor array
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Near-field/far-field azimuth and elevation angle estimation using asingle vector hydrophone
IEEE Transactions on Signal Processing
Acoustic vector-sensor array processing
IEEE Transactions on Signal Processing
Narrowband signal detection techniques in shallow ocean by acoustic vector sensor array
Digital Signal Processing
| Hi-index | 0.08 |
The subspace intersection method (SIM) provides unbiased bearing estimates of multiple acoustic sources in a range-independent shallow ocean using a one-dimensional search without prior knowledge of source ranges and depths. The original formulation of this method is based on deployment of a horizontal linear array of hydrophones which measure acoustic pressure. In this paper, we extend SIM to an array of acoustic vector sensors which measure pressure as well as all components of particle velocity. Use of vector sensors reduces the minimum number of sensors required by a factor of 4, and also eliminates the constraint that the intersensor spacing should not exceed half wavelength. The additional information provided by the vector sensors leads to performance enhancement in the form of lower estimation error and higher resolution.