The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
The eigencanceler: adaptive radar by eigenanalysis methods
Abstract
It is shown that the dominant eigenvectors of the space-time correlation matrix contain all the information about the space-time distribution of the interferences. The eigencanceler is a new approach to adaptive radar beamforming in which the weight vector is constrained to be in the noise subspace, the subspace orthogonal to the dominant eigenvectors. Two types of eigencancelers are suggested: the minimum power eigencanceler (MPE) and the minimum norm eigencanceler (MNE). It is shown that while the MPE is implemented as a linear combination of noise eigenvectors, the MNE can be formed using dominant eigenvectors only. Particularly for short data records, the MNE provides superior clutter and jammers cancellation, as well as lower variations in the pattern and lower distortion of the mainbeam, and can be carried out at a smaller computational cost than other known beamformers, such as the minimum variance beamformer.
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Cites
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Rogers, S. (1996) · Control Engineering Practice · doi:10.1016/0967-0661(96)82838-3 · Cited by 9,278
High-resolution frequency-wavenumber spectrum analysis
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An algorithm for linearly constrained adaptive array processing
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Rapid Convergence Rate in Adaptive Arrays
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Adaptive filter theory (2nd ed.)
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“The number of large (principal) eigenvalues is predicted by the Landau—Pollak Theorem [22].”
BackgroundApplebaum, S. (1976) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.1976.1141417 · Cited by 793
A complex gradient operator and its application in adaptive array theory
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Metadata
- Authors
- Haimovich, A.
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 1996-04
- Volume
- 32
- Issue
- 2
- Pages
- 532-542
- ISSN
- 0018-9251 (ISSN-L)
- OpenAlex
- W2142495747
- Cited by
- 265
- References
- 19
- FWCI
- 9.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Haimovich, A. (1996). The eigencanceler: adaptive radar by eigenanalysis methods. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/7.489498
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
