Adaptive robust constrained matched filter and subspace detection

A minimax methodology for formulating adaptively robust and sensitive matched filter and subspace detectors is provided, where the signal and interference of structured noise are partially known. The signal and interference subspaces are assumed to reside in conical regions of the measurement space, and the gain parameters can have bounded magnitude. It is shown that the minimax approach permits the design of a rich variety of matched filter and subspace detectors that vary in the degree of robustness and sensitivity.

[1]  Barry D. Van Veen,et al.  Subspace-based adaptive generalized likelihood ratio detection , 1996, IEEE Trans. Signal Process..

[2]  Louis L. Scharf,et al.  Adaptive subspace detectors , 2001, IEEE Trans. Signal Process..

[3]  Zhengyuan Xu,et al.  Performance analysis of blind channel estimation for precoded multiuser systems , 2002, Journal of Communications and Networks.

[4]  Mukund Desai,et al.  Functional MRI activity characterization using response time shift estimates from curve evolution , 2002, IEEE Transactions on Medical Imaging.

[5]  Ting Wang,et al.  Performance analysis of blind channel estimation for precoded multirate multiuser systems , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Louis L. Scharf,et al.  Matched subspace detectors , 1994, IEEE Trans. Signal Process..

[7]  Mukund Desai,et al.  Robust non-Gaussian matched subspace detectors , 2002, 2002 11th European Signal Processing Conference.

[8]  Mukund Desai,et al.  Robust Gaussian and non-Gaussian matched subspace detection , 2003, IEEE Trans. Signal Process..

[9]  George C. Verghese,et al.  Optimally robust redundancy relations for failure detection in uncertain systems , 1986, Autom..

[10]  Asok Ray,et al.  Analytic Redundancy for On-Line Fault Diagnosis in a Nuclear Reactor , 1983 .

[11]  L.L. Scharf,et al.  Matched and adaptive subspace detectors when interference dominates noise , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[12]  J. C. Deckert,et al.  Dual-Sensor Failure Identification Using Analytic Redundancy , 1979 .

[13]  Piero Castoldi.  Multiuser Detection in CDMA Mobile Terminals , 2002 .

[14]  G.C. Verghese,et al.  A robust failure detection and isolation algorithm , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[15]  Rami Mangoubi,et al.  Robust Estimation and Failure Detection , 1998 .

[16]  Sean A. Ramprashad,et al.  Signal modeling and detection using cone classes , 1996, IEEE Trans. Signal Process..