2019 IEEE Radar Conference (RadarConf) 2019
DOI: 10.1109/radar.2019.8835606
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GNSS Based Passive Radar for UAV Monitoring

Abstract: Monitoring of unmanned aerial vehicle (UAV) targets has been a subject of great importance in both defence and security sectors. In this paper a novel system is introduced based on a passive bistatic radar using Global Navigation Satellite Systems (GNSS) as illuminators of opportunity. Particularly, a link budget analysis is held to determine the capabilities and limitations of such a system. Additionally, a signal reconstruction algorithm is provided allowing estimation of the transmitted signal from each sat… Show more

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Cited by 15 publications
(12 citation statements)
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“…Experimental acquisitions validated the feasibility of the system, while the application of short time fractional Fourier transforms was also proposed to enhance the target parameter estimation capabilities. This study extends the work in [19] by considering both forward and back scattering (BS) RCS as well as exploiting multi‐satellite acquisitions in a multiple‐input single‐output (MISO) configuration. The contribution of this work can be summarised as follows: extension of the proposed system for multi‐satellite acquisition; evaluation of the maximum detectable range accounting BS and FS configurations, and time and multi‐satellite integration; evaluation of the localisation capabilities in a MISO parameter estimation approach; investigation of micro‐Doppler signatures in GNSS PBR configurations.…”
Section: Introductionmentioning
confidence: 63%
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“…Experimental acquisitions validated the feasibility of the system, while the application of short time fractional Fourier transforms was also proposed to enhance the target parameter estimation capabilities. This study extends the work in [19] by considering both forward and back scattering (BS) RCS as well as exploiting multi‐satellite acquisitions in a multiple‐input single‐output (MISO) configuration. The contribution of this work can be summarised as follows: extension of the proposed system for multi‐satellite acquisition; evaluation of the maximum detectable range accounting BS and FS configurations, and time and multi‐satellite integration; evaluation of the localisation capabilities in a MISO parameter estimation approach; investigation of micro‐Doppler signatures in GNSS PBR configurations.…”
Section: Introductionmentioning
confidence: 63%
“…As shown in [22], spheres with a radius close to 8 cm can well approximate the BS‐RCS of a Parrot drone target at the 2.4 GHz WiFi band. An overview of the FS‐RCS phenomenology is provided in [23], while its applicability for miniature UAV detection was investigated in [19]. The maximum FS‐RCS in the optical region can be calculated from [24]σFS,max=4πS2/λ2 where S is the physical area of the target.…”
Section: Gnss Availability and Detection Rangementioning
confidence: 99%
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“…FSR is a special bistatic radar configuration occurring when the bistatic angle is close to 180° [18]. The concept of FSR is illustrated in Fig.…”
Section: Fs Radarmentioning
confidence: 99%
“…The fundamental limitation of the GNSS-based PBR is the low power density of the GNSS signal [10]. Generally, a large receiving antenna and a fairly long coherent integration time are required for the GNSS-based PBR to obtain a sufficient signal-to-noise ratio (SNR) for effective detection at a promising range.…”
mentioning
confidence: 99%