Vector-sensor MUSIC for polarized seismic sources localization
EURASIP Journal on Applied Signal Processing
Frequency and 2D angle estimation based on a sparse uniform array of electromagnetic vector sensors
EURASIP Journal on Applied Signal Processing
Multidimensional Systems and Signal Processing
Signal correlation modeling in acoustic vector sensor arrays
IEEE Transactions on Signal Processing
Quad-quaternion music for DOA estimation using electromagnetic vector sensors
EURASIP Journal on Advances in Signal Processing
Robust adaptive beamforming in partly calibrated sparse sensor arrays
IEEE Transactions on Signal Processing
Multidimensional Systems and Signal Processing
Vector-sensor array processing for polarization parameters and DOA estimation
EURASIP Journal on Advances in Signal Processing
Narrowband signal detection techniques in shallow ocean by acoustic vector sensor array
Digital Signal Processing
Hi-index | 35.69 |
A sparse uniform Cartesian-grid array suffers cyclic ambiguity in its Cartesian direction-cosine estimates due to the spatial Nyquist sampling theorem. The proposed MUSIC-based or MODE-based algorithm improves and generalizes previous disambiguation schemes that populate the thin array grid with identical subarrays-such as electromagnetic vector sensors, underwater acoustic vector hydrophones, or half-wavelength spaced subarrays