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
Underwater sources location in non-Gaussian impulsive noise environments
Digital Signal Processing
Maximum likelihood array processing in spatially correlated noisefields using parameterized signals
IEEE Transactions on Signal Processing
Maximum-likelihood direction-of-arrival estimation in the presenceof unknown nonuniform noise
IEEE Transactions on Signal Processing
Direction estimation in partially unknown noise fields
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Array processing in correlated noise fields based on instrumentalvariables and subspace fitting
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Spatial analysis using new properties of the cross-spectral matrix
IEEE Transactions on Signal Processing
Direction finding using noise covariance modeling
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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
Maximum likelihood DOA estimation and asymptotic Cramer-Rao boundsfor additive unknown colored noise
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Acoustic vector-sensor array processing
IEEE Transactions on Signal Processing
Multidimensional Systems and Signal Processing
Narrowband signal detection techniques in shallow ocean by acoustic vector sensor array
Digital Signal Processing
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This paper considers a new azimuth-elevation direction finding algorithm for multiple acoustic plane wave signals using acoustic vector array. Firstly, a planar-plus-an-isolated sensor array geometry [P. Li, J. Sun, B. Yu, Two-dimensional spatial spectrum estimation of coherent signals without spatial smoothing and eigendecomposition, IEE Proc.-Radar Sonar Navigat. 143(5) (October 1996) 295-299] is exploited and a cross-covariance matrix is defined. Then the propagator method is used to estimate the steering vectors of acoustic vector sensors. Finally, a closed-form, automatically paired azimuth-elevation angle estimates are derived. The presented algorithm shows high azimuth-elevation estimation accuracy due to array aperture extension. In addition, the new algorithm does not need the eigen-decomposition and 2D iterative searching, and is applicable to coherent (fully correlated) signals and spatially correlated noises. Therefore, the algorithm shows low computational complexity and robustness. Monte-Carlo simulations are presented to verify the effectiveness of the proposed algorithm.