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
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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.
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