Adaptive subspace detectors
Top Cited Papers
- 1 January 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 49 (1) , 1-16
- https://doi.org/10.1109/78.890324
Abstract
We use the theory of generalized likelihood ratio tests (GLRTs) to adapt the matched subspace detectors (MSDs) of Scharf (1991) and of Scharf and Frielander (1994) to unknown noise covariance matrices. In so doing, we produce adaptive MSDs that may be applied to signal detection for radar, sonar, and data communication. We call the resulting detectors adaptive subspace detectors (ASDs). These include Kelly's (1987) GLRT and the adaptive cosine estimator (ACE) of Kaurt and Scharh (see ibid., vol.47, p.2538-41, 1999) and of Scharf and McWhorter (see Proc. 30th Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, 1996) for scenarios in which the scaling of the test data may deviate from that of the training data. We then present a unified analysis of the statistical behavior of the entire class of ASDs, obtaining statistically identical decompositions in which each ASD is simply decomposed into the nonadaptive matched filter, the nonadaptive cosine or t-statistic, and three other statistically independent random variables that account for the performance-degrading effects of limited training data.Keywords
This publication has 18 references indexed in Scilit:
- Adaptive matched subspace detectors and adaptive coherence estimatorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Performance convergence of the adaptive matched filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A canonical representation for distributions of adaptive matched subspace detectorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The CFAR adaptive subspace detector is a scale-invariant GLRTIEEE Transactions on Signal Processing, 1999
- Performance of the GLRT for adaptive vector subspace detectionIEEE Transactions on Aerospace and Electronic Systems, 1996
- Matched subspace detectorsIEEE Transactions on Signal Processing, 1994
- A CFAR adaptive matched filter detectorIEEE Transactions on Aerospace and Electronic Systems, 1992
- A new CFAR detection test for radarDigital Signal Processing, 1991
- Signal detection in Gaussian noise of unknown level: An invariance applicationIEEE Transactions on Information Theory, 1971
- On the Detection of a Known Signal in a Non-Gaussian Noise ProcessThe Journal of the Acoustical Society of America, 1968