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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Morris, H. De Pass, M.M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Claremont Grad. Univ., Claremont (Morris, H.; De Pass, M.M.) |
| Abstract | STAP is an adaptive filtering algorithm that works on space-time radar data to suppress the effects of clutter and jamming and achieve both target identification and parameter estimation in airborne and space based radar [1][2]. The signals to which STAP processes are applied consist of three basic parts, target, clutter and jamming. In morphological component analysis (MCA) [3] the component signals are separated by assuming that each signal component can be sparsely represented in some suitable dictionary. It is assumed that expansions of a given signal component in the dictionaries of the other signal components are non-sparse. The MCA algorithm seeks a solution through an optimization method that implements this sparse-representation idea. This approach was applied to the analysis of ISAR images in [4]. In this paper we consider the basic STAP equations as a problem in multi-channel morphological component analysis (MMCA) [5] [6] [7]. The method is illustrated by application to the KASSPERI datacube. |
| Starting Page | 2187 |
| Ending Page | 2190 |
| File Size | 2174623 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421091 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.2007.4487628 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spaceborne radar Jamming Dictionaries Adaptive filters Filtering algorithms Airborne radar Radar clutter Parameter estimation Signal processing Signal analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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