NDLI: Median cascaded canceller using reiterative processing

Content Provider	IEEE Xplore Digital Library
Author	Picciolo, M.L. Gerlach, K.
Copyright Year	2003
Description	Author affiliation: Naval Res. Lab., Washington, DC, USA (Picciolo, M.L.; Gerlach, K.)
Abstract	A novel, robust adaptive processor is introduced, based on reiterative application of the median cascaded canceller (MCC). The MCC, though a highly robust adaptive processor, has a convergence rate that generally is dependent on the effective rank of the interference-plus-noise covariance matrix. The reiterative median cascaded canceller (RMCC) introduced here exhibits the highly desirable combination of 1) convergence-robustness to outliers/targets in adaptive weight training data, like the MCC, and 2) fast convergence performance independent of the interference-plus-noise covariance matrix and at a rate commensurate with the sample matrix inversion (SMI) algorithm, unlike the MCC. Both simulated data as well as measured airborne radar data from the MCARM space-time adaptive processing (STAP) database are used to show performance enhancements. It is concluded that the RMCC adaptive processor is a highly robust replacement for the SMI adaptive processor and all its equivalent implementations.
Sponsorship	IEEE Huntsville Sect. IEEE Region 3 IEEE Aerosp. & Electron. Syst. Soc. Dynetics Raytheon Company
Starting Page	71
Ending Page	78
File Size	484511
Page Count	8
File Format	PDF
ISBN	0780379209
DOI	10.1109/NRC.2003.1203382
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convergence Covariance matrix Clutter Training data Signal to noise ratio Jamming Radar antennas Robustness Interference cancellation Signal processing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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