The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The CFAR adaptive subspace detector is a scale-invariant GLRT
Abstract
The constant false alarm rate (CFAR) matched subspace detector (CFAR MSD) is the uniformly most-powerful-invariant test and the generalized likelihood ratio test (GLRT) for detecting a target signal in noise whose covariance structure is known but whose level is unknown. Previously, the CFAR adaptive subspace detector (CFAR ASD), or adaptive coherence estimator (ACE), was proposed for detecting a target signal in noise whose covariance structure and level are both unknown and whose covariance structure is estimated with a sample covariance matrix based on training data. We show here that the CFAR ASD is GLRT when the test measurement is not constrained to have the same noise level as the training data, As a consequence, this GLRT is invariant to a more general scaling condition on the test and training data than the well-known GLRT of Kelly (1986).
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Citations
Cites
A CFAR adaptive matched filter detector
Robey, F. C., Fuhrmann, D. R., Kelly, E. J., & Nitzberg, R. (1992) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/7.135446 · Cited by 1,660
An Adaptive Detection Algorithm
Kelly, E. J. (1986) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.1986.310745 · Cited by 1,574
Scharf, L. L., & Friedlander, B. (1994) · IEEE Transactions on Signal Processing · doi:10.1109/78.301849 · Cited by 958
Self-citationHuang, Y.-F. (2005) · Elsevier eBooks · doi:10.1016/b978-012170960-0/50066-9 · Cited by 129
Cited by
Detection algorithms for hyperspectral imaging applications
Manolakis, D., & Shaw, G. (2002) · IEEE Signal Processing Magazine · doi:10.1109/79.974724 · Cited by 1,116
Keshava, N. (2004) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2004.830549 · Cited by 340
Guo, Q., Zhang, B., Ran, Q., Gao, L., Li, J., & Plaza, A. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2302446 · Cited by 324
Siamese transformer network for hyperspectral image target detection
Rao, W., Gao, L., Qu, Y., Sun, X., Zhang, B., & Chanussot, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3163173 · Cited by 134
Metadata
- Authors
- Kraut, S., & Scharf, L. L.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1999
- Volume
- 47
- Issue
- 9
- Pages
- 2538-2541
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2096972831
- Cited by
- 606
- References
- 4
- FWCI
- 19.96
- Type
- journal article
- Language
- en
- Open access
- closed
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