The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Array shape calibration using sources in unknown locations-a maximum likelihood approach
Abstract
Sensor location uncertainty can severely degrade the performance of direction-finding systems. An iterative maximum-likelihood method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The case of nondisjoint sources, i.e., sources observed in the same frequency cell and at the same time, is emphasized. The algorithm converges to the global maximum of the likelihood function if the initial conditions are sufficiently good. Numerical examples are presented, illustrating the performance of the proposed technique. A distinctive feature of the algorithm is its ability to locate the sensors accurately without deploying calibration sources at known locations.>
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Citations
Cites
Maximum likelihood localization of multiple sources by alternating projection
Ziskind, I., & Wax, M. (1988) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.7543 · Cited by 1,272
A signal subspace approach to multiple emitter location and spectral estimation
Schmidt, R. O. (1981) · Medical Entomology and Zoology · Cited by 1,147
Parameter estimation of superimposed signals using the EM algorithm
Feder, M., & Weinstein, E. (1988) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.1552 · Cited by 779
Array shape calibration using sources in unknown locations--Part I: Far-field sources
Rockah, Y., & Schultheiss, P. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165144 · Cited by 427
Eigenstructure methods for direction finding with sensor gain and phase uncertainties
Weiss, A. J., & Friedlander, B. (1990) · Circuits Systems and Signal Processing · doi:10.1007/bf01201215 · Cited by 269
Self-citationArray shape calibration using eigenstructure methods
Weiss, A. J., & Friedlander, B. (1991) · Signal Processing · doi:10.1016/0165-1684(91)90013-9 · Cited by 74
Self-citation
Cited by
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
A sparse signal reconstruction perspective for source localization with sensor arrays
Malioutov, D., Cetin, M., & Willsky, A. S. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2005.850882 · Cited by 2,638
Godara, L. C. (1997) · Proceedings of the IEEE · doi:10.1109/5.622504 · Cited by 2,073
Metadata
- Authors
- Weiss, A. J., & Friedlander, B.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1989
- Volume
- 37
- Issue
- 12
- Pages
- 1958-1966
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2137181260
- Cited by
- 287
- References
- 6
- FWCI
- 11.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Weiss, A. J., & Friedlander, B. (1989). Array shape calibration using sources in unknown locations-a maximum likelihood approach. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.45542
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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