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