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
Acoustic vector-sensor processing in the presence of a reflectingboundary
IEEE Transactions on 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
IEEE Transactions on Signal Processing
Performance bounds for estimating vector systems
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
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This paper presents a propagator-based algorithm for underwater acoustic 2-D direction-of-arrival (DOA) estimation with arbitrarily spaced vector hydrophones at unknown locations. The proposed algorithm requires only linear operations but no eigen-decomposition or singular value decomposition into the signal and noise subspaces. Comparing with its ESPRIT counterpart (Wong and Zoltowski, IEEE J Oceanic Eng 22:566---575, 1997a), the proposed propagator algorithm has its computational complexity reduced by this ratio: the number of sources to quadruple the number of vector hydrophones. Simulation results show that at high and medium signal-to-noise ratio, the proposed propagator algorithm's estimation accuracy is similar to its ESPRIT counterpart.