The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Detection and estimation in sensor arrays using weighted subspace fitting
Open accessAbstract
The problem of signal parameter estimation of narrowband emitter signals impinging on an array of sensors is addressed. A multidimensional estimation procedure that applies to arbitrary array structures and signal correlation is proposed. The method is based on the recently introduced weighted subspace fitting (WSF) criterion and includes schemes for both detecting the number of sources and estimating the signal parameters. A Gauss-Newton-type method is presented for solving the multidimensional WSF and maximum-likelihood optimization problems. The global and local properties of the search procedure are investigated through computer simulations. Most methods require knowledge of the number of coherent/noncoherent signals present. A scheme for consistently estimating this is proposed based on an asymptotic analysis of the WSF cost function. The performance of the detection scheme is also investigated through simulations.>
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Cites
Multiple emitter location and signal parameter estimation
Schmidt, R. (1986) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.1986.1143830 · Cited by 14,718
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.32276 · Cited by 7,289
Self-citationModeling by shortest data description
Rissanen, J. (1978) · Automatica · doi:10.1016/0005-1098(78)90005-5 · Cited by 6,011
The algebraic eigenvalue problem
Wilkinson, J. H. (1965) · Cited by 5,833
The Algebraic Eigenvalue Problem
I., E., & Wilkinson, J. H. (1966) · Mathematics of Computation · doi:10.2307/2003558 · Cited by 5,140
Levary, R. R. (1982) · European Journal of Operational Research · doi:10.1016/0377-2217(82)90093-5 · Cited by 4,158
Detection of signals by information theoretic criteria
Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164557 · Cited by 3,426
Self-citationMUSIC, maximum likelihood, and Cramer-Rao bound
Stoica, P., & Nehorai, A. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.17564 · Cited by 2,820
Maximum entropy spectral analysis
Burg, J. P. (1967) · Medical Entomology and Zoology · Cited by 2,046
On spatial smoothing for direction-of-arrival estimation of coherent signals
Shan, T.-J., Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164649 · Cited by 1,894
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Two decades of array signal processing research: the parametric approach
Krim, H., & Viberg, M. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.526899 · Cited by 4,719
Self-citationGodara, L. C. (1997) · Proceedings of the IEEE · doi:10.1109/5.622504 · Cited by 2,073
Blind identification and equalization based on second-order statistics: a time domain approach
Tong, L., Xu, G., & Kailath, T. (1994) · IEEE Transactions on Information Theory · doi:10.1109/18.312157 · Cited by 1,078
Self-citationBlind PARAFAC receivers for DS-CDMA systems
Sidiropoulos, N. D., Giannakis, G. B., & Bro, R. (2000) · IEEE Transactions on Signal Processing · doi:10.1109/78.824675 · Cited by 560
Subspace-based signal analysis using singular value decomposition
Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348
Metadata
- Authors
- Viberg, M., Ottersten, B., & Kailath, T.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1991
- Volume
- 39
- Issue
- 11
- Pages
- 2436-2449
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2041050174
- Cited by
- 512
- References
- 36
- FWCI
- 27.62
- Type
- journal article
- Language
- en
- Open access
- green
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