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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/14969
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| Title: | Iterative Algorithms for Radar Signal Processing |
| Authors: | M. Barkat
M. Grimes
A. Ghemit |
| Keywords: | PAST and OPAST algorithms; STAP; RADAR |
| Issue Date: | 2011 |
| Abstract: | In this paper, we are interested in the application and the evaluation of the performances of adaptive recursive subspace-based algorithms of linear complexity for the suppression of interferences in Space Time Adaptive Processing (STAP), namely PAST and OPAST. To highlight their application in the STAP, we present the reduction of the rank by the principal components (PC) and the SINR metric methods. The simulation results will be presented and the performances of the STAP for a reduced rank will be discussed with a comparative study made between the used methods. |
| URI: | http://hdl.handle.net/123456789/14969 |
| Appears in Collections: | College of Computer and Information Sciences
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