Palama, R;
Greco, M;
Gini, F;
(2016)
Multistatic adaptive CFAR detection in non-Gaussian clutter.
EURASIP Journal on Advances in Signal Processing
, 2016
, Article 107. 10.1186/s13634-016-0408-1.
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Abstract
This work addresses the problem of target detection for multistatic radars. We propose an algorithm that is able to keep constant the false alarm rate, when the disturbance samples associated with each receiver-transmitter pair are distributed according to a compound Gaussian model. The performance of the proposed detection algorithm are analysed to assess the impact of clutter diversity on detection performance. The results show that clutter statistical diversity has a strong impact on detection performance. The performance of both single-channel and multichannel detection schemes are evaluated by processing real sea clutter data collected by the NetRAD nodes, in order to evaluate which of the two channels, i.e. the bistatic and monostatic channels, is more favourable for target detection. Furthermore, the gain achieved by using a multistatic detection algorithm is also analysed.
| Type: | Article |
|---|---|
| Title: | Multistatic adaptive CFAR detection in non-Gaussian clutter |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1186/s13634-016-0408-1 |
| Publisher version: | https://doi.org/10.1186/s13634-016-0408-1 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, COVARIANCE-MATRIX ESTIMATION, COHERENT RADAR DETECTION, BISTATIC SEA CLUTTER, SIGNAL-DETECTION, MIMO RADAR, DECENTRALIZED DETECTION, STATISTICAL-ANALYSIS, OPTIMUM, PERFORMANCE |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10059539 |
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| 2. |  Iran, Islamic Republic of | 1 |
| 3. |  Russian Federation | 1 |
| 4. |  Lithuania | 1 |
| 5. |  United States | 1 |
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