High-order subspace-based algorithms for passive localization of near-field sources
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Analysis of ESPRIT based joint angle-frequency estimation
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Joint time delay and frequency estimation of multiple sinusoids
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
A modified path-following algorithm using a known algebraic path
IEEE Transactions on Signal Processing
Performance analysis of higher order ESPRIT for localization ofnear-field sources
IEEE Transactions on Signal Processing
Azimuth and elevation direction finding using arbitrary arraygeometries
IEEE Transactions on Signal Processing
4D near-field source localization using cumulant
EURASIP Journal on Applied Signal Processing
Digital Signal Processing
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This paper studies the joint estimation problem of ranges, DOAs, and frequencies of near-field narrowband sources and proposes a new computationally efficient algorithm, which employs a symmetric uniform linear array, uses eigenvalues together with the corresponding eigenvectors of two properly designed matrices to estimate signal parameters, and does not require searching for spectral peak or pairing among parameters. In addition, the proposed algorithm can be applied in arbitrary Gaussian noise environment since it is based on the fourth-order cumulants, which is verified by extensive computer simulations.