The propagator method for source bearing estimation
Signal Processing
Fast communication: a fast algorithm for 2-D direction-of-arrival estimation
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
IEEE Transactions on Signal Processing
Spatial analysis using new properties of the cross-spectral matrix
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Adaptive eigendecomposition of data covariance matrices based onfirst-order perturbations
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
Wireless Personal Communications: An International Journal
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This paper proposes a new computationally simple 2D direction finding algorithm for underwater acoustic coherent signals using a uniformly linear array of vector hydrophones. We decorrelate the source coherency by subarray averaging, and apply the propagator method to estimate automatically paired direction cosines embedded in the acoustical particle-velocity components of the vector hydrophone. Therefore, the presented algorithm requires neither the eigen-decomposition into signal/noise subspaces nor the 2D iteratively searching. In addition, because the vector-hydrophone array manifold contains no sensor location information, this new algorithm can offer high azimuth-elevation estimation accuracy by setting vector hydrophones to space much farther apart than a half-wavelength. The presented algorithm can be regarded as an improvement of SUMWE algorithm [19] via replacing the pressure hydrophones there by vector hydrophones. Monte-Carlo simulations are presented to verify the efficacy of the proposed algorithm.