Abstract
A priori knowledge can be exploited to increase clutter cancellation performance. This, in particular, applies in the case of Multichannel high resolution SAR systems in scenarios where also non-cooperative moving targets are present. Space Doppler Adaptive Processing has been proven as a viable solution in this case although it needs a large number of i.i.d training data. Prior knowledge can be used to relax this demanding condition. Two approaches (ITFS and Bayesian) are described and results on simulated data are shown.
Original language | English |
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Publication status | Published - 2017 |
Event | 2017 International Conference on Radar Systems, Radar 2017: International Conference on Radar Systems - Belfast, Belfast, United Kingdom Duration: 23 Oct 2017 → 26 Oct 2017 |
Conference
Conference | 2017 International Conference on Radar Systems, Radar 2017 |
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Country/Territory | United Kingdom |
City | Belfast |
Period | 23/10/17 → 26/10/17 |
Bibliographical note
Publisher Copyright:© 2017 Institution of Engineering and Technology. All rights reserved.
ASJC Scopus subject areas
- Electrical and Electronic Engineering