Regular paperAn alternative approach to coherent source location problem☆
References (13)
- et al.
A new spatial smoothing scheme for direction-of-arrivals of correlated sources
Signal Processing
(1996) Improving the resolution performance of eigenstructure-based direction-finding algorithms
A high-resolution direction-of-arrival algorithm for narrow-band coherent and incoherent sources
IEEE Trans. Acoust. Speech Signal Process.
(1988)Noniterative subspace tracking
IEEE Trans. Signal Process.
(1992)- et al.
High resolution angular spectrum estimation techniques for terrain scattering analysis and angle of arrival estimation
- et al.
Optimal subarray size for spatial smoothing
IEEE Signal Process. Lett.
(1995)
Cited by (14)
Source localization utilizing weighted power iterative compensation via acoustic vector hydrophone array
2021, Applied AcousticsCitation Excerpt :However, the DOA estimation of coherent sources is inevitable, especially in various underwater reflective surfaces, such as water bottom and surface, and underwater obstacle, e.g., which deteriorate the DOA estimation performance dramatically. To mitigate this issue, a large number of decorrelation techniques are proposed in [21–24]. Although these techniques improve the DOA estimation performance of coherent sources, they can’t distinguish more sources than the number of physical AVHs.
Two-dimensional DOA estimation of coherent signals using acoustic vector sensor array
2012, Signal ProcessingCitation Excerpt :Under this circumstance, the rank of the covariance matrix is generally less than the number of incident signals. To overcome this detrimental aspect, decorrelation techniques such as the spatial smoothing (SS) [10–12], the technique developed by Kozick and Kassam [13], eigenvector smoothing (ES) [14,15], and computationally efficient subspace-based method without eigendecomposition (SUMWE) [16] have been proposed. These techniques, however, work well only for certain array configurations, e.g., uniformly spaced linear arrays.
2-D direction-of-arrival estimation of coherent signals using cross-correlation matrix
2008, Signal ProcessingMSE-based regularization approach to direction estimation of coherent narrowband signals using linear prediction
2001, IEEE Transactions on Signal ProcessingLinear prediction approach to direction estimation of cyclostationary signals in multipath environment
2001, IEEE Transactions on Signal ProcessingSensor Array Signal Processing Using SSA
2023, Lecture Notes on Data Engineering and Communications Technologies
- ☆
The work of A.B. Gershman was supported by the grant Bo 568/22-1 of Deutsche Forschungsgemeinschaft (DFG), and by the SASPARC project of INTAS.