Adaptive beamforming approaches to improve passive radar performance in sea and wind farms' clutter
Authors
Rosado Sanz, Javier; Jarabo Amores, María del Pilar; Mata Moya, David Anastasio de la; Rey Maestre, Nerea delIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/59814DOI: 10.3390/s22186865
ISSN: 1424-8220
Publisher
MDPI
Date
2022-09-10Funders
Agencia Estatal de Investigación
Universidad de Alcalá
Bibliographic citation
Rosado Sanz, J. [et al.], 2022, "Adaptive beamforming approaches to improve passive radar performance in sea and wind farms' clutter", Sensors, vol. 22, no. 18, art. no. 6865, pp. 1-16.
Keywords
Passive radar
Beamforming
Interference suppression
Direction of arrival
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-101979-B-I00/ES/RADARES PASIVOS BASADOS EN EL CONOCIMIENTO QUE INCORPORAN TECNICAS ESPACIALES ADAPTATIVAS DE BANDA ANCHA/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-128898OB-100
info:eu-repo/grantAgreement/UAH//CM-JIN-2021-010
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.3390/s22186865Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2022 The authors
Access rights
info:eu-repo/semantics/openAccess
Abstract
This article presents the problem of passive radar vessel detection in a real coastal scenario in the presence of sea and wind farms’ clutter, which are characterised by high spatial and time variability due to the influence of weather conditions. Deterministic and adaptive beamforming techniques are proposed and evaluated using real data. Key points such as interference localisation and characterisation are tackled in the passive bistatic scenario with omnidirectional illuminators that critically increase the area of potential clutter sources to areas far from the surveillance area. Adaptive beamforming approaches provide significant Signal-to-Interference improvements and important radar coverage improvements. In the presented case study, an aerial target is detected 28 km far from the passive radar receiver, fulfilling highly demanding performance requirements.
Files in this item
Files | Size | Format |
|
---|---|---|---|
Adaptive_Rosado_Sensors_2022.pdf | 641.5Kb |
|
Files | Size | Format |
|
---|---|---|---|
Adaptive_Rosado_Sensors_2022.pdf | 641.5Kb |
|
Collections
- TSENCOM - Artículos [58]