eprintid: 10059539 rev_number: 14 eprint_status: archive userid: 608 dir: disk0/10/05/95/39 datestamp: 2018-10-29 14:42:03 lastmod: 2020-04-23 03:36:27 status_changed: 2018-10-29 14:42:03 type: article metadata_visibility: show creators_name: Palama, R creators_name: Greco, M creators_name: Gini, F title: Multistatic adaptive CFAR detection in non-Gaussian clutter ispublished: pub divisions: UCL divisions: A01 divisions: B04 divisions: C05 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 note: 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/ 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. date: 2016-10-19 date_type: published publisher: SPRINGER INTERNATIONAL PUBLISHING AG official_url: https://doi.org/10.1186/s13634-016-0408-1 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green article_type_text: Article verified: verified_manual elements_id: 1498529 doi: 10.1186/s13634-016-0408-1 lyricists_name: Palama', Riccardo lyricists_id: RPALA71 actors_name: Cuccu, Clara actors_id: CCCUC40 actors_role: owner full_text_status: public publication: EURASIP Journal on Advances in Signal Processing volume: 2016 article_number: 107 pages: 17 issn: 1687-6180 citation: 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 <https://doi.org/10.1186/s13634-016-0408-1>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10059539/1/Palam%C3%A0_s13634-016-0408-1.pdf