Acoustic vector-sensor array processing

Authors:
A. Nehorai;E. Paldi
Affiliations:
Dept. of Electr. Eng., Yale Univ., New Haven, CT;-
Venue:
IEEE Transactions on Signal Processing
Year:
1994

Citing 0
Cited 14

Perturbation analysis of conjugate MI-ESPRIT for single acoustic vector-sensor-based noncircular signal direction finding

Signal Processing
Two-dimensional direction finding of acoustic sources by a vector sensor array using the propagator method

Signal Processing
Noncircularity-exploitation in direction estimation of noncircular signals with an acoustic vector-sensor

Digital Signal Processing
Underwater acoustic azimuth and elevation angle estimation using spatial invariance of two identically oriented vector hydrophones at unknown locations in impulsive noise

Digital Signal Processing
Efficient underwater two-dimensional coherent source localization with linear vector-hydrophone array

Signal Processing
Subspace intersection method of high-resolution bearing estimation in shallow ocean using acoustic vector sensors

Signal Processing
Underwater sources location in non-Gaussian impulsive noise environments

Digital Signal Processing
Two-dimensional DOA estimation of coherent signals using acoustic vector sensor array

Signal Processing
Optimal waveform design for generalized likelihood ratio and adaptive matched filter detectors using a diversely polarized antenna

Signal Processing
Fast communication: Target localization using MIMO electromagnetic vector array systems

Signal Processing
Narrowband signal detection techniques in shallow ocean by acoustic vector sensor array

Digital Signal Processing
Two-dimensional angle estimation for monostatic MIMO arbitrary array with velocity receive sensors and unknown locations

Digital Signal Processing
Two-Dimensional DOA Estimation of Coherent Sources for Acoustic Vector-Sensor Array Using a Single Snapshot

Wireless Personal Communications: An International Journal
Fast communication: Underdetermined direction of arrival estimation using acoustic vector sensor

Signal Processing

Quantified Score

Hi-index	35.68

Visualization

Abstract

A method is presented for localizing acoustic sources using an array of sensors, the output of each being a vector consisting of the acoustic pressure and acoustic particle velocity. The authors derive a compact expression for the Cramer-Rao bound (CRB) on the estimation errors of the source direction-of-arrival (DOA) parameters in the multi-source multi-vector-sensor model. An explicit expression is found for the mean-square angular error (MSAE) bound for source localization with a single vector sensor. The authors present two simple algorithms for estimating the source DOA with this sensor, along with their statistical performance analyses