2021 18th European Radar Conference (EuRAD) 2022
DOI: 10.23919/eurad50154.2022.9784498
|View full text |Cite
|
Sign up to set email alerts
|

bladeRAD: Development of an Active and Passive, Multistatic Enabled, Radar System

Abstract: In this paper the development of a hybrid active and passive experimental radar system utilising a low-cost Software Defined Radio is explored. The potential future evolution from monostatic to multistatic sensing is described and the synchronisation performance limitations of the system are summarised through a number of preliminary laboratory experiments. In addition, the first of a series of practical radar experiments are presented in order to verify the systems active and passive sensing modes.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 12 publications
0
3
0
Order By: Relevance
“…In order to utilise the GNSSDOs for synchronisation of spatially separated radar nodes the RadSync multistatic radar synchronisation system has been developed at University College London. The RadSync system is used to derive the required synchronisation signals from COTS GNSSDOs, for three radar systems, namely, the bladeRAD hybrid radar system [35, 36], the ARESTOR multi‐role RF system [37, 38] and the NeXtRAD multistatic radar system [39, 40]. The radar synchronisation system provides three main elements of functionality: synchronous clock signal conversion synchronous trigger generation and network control of the spatially separated synchronisation nodes.…”
Section: Radsync Synchronisation Systemmentioning
confidence: 99%
“…In order to utilise the GNSSDOs for synchronisation of spatially separated radar nodes the RadSync multistatic radar synchronisation system has been developed at University College London. The RadSync system is used to derive the required synchronisation signals from COTS GNSSDOs, for three radar systems, namely, the bladeRAD hybrid radar system [35, 36], the ARESTOR multi‐role RF system [37, 38] and the NeXtRAD multistatic radar system [39, 40]. The radar synchronisation system provides three main elements of functionality: synchronous clock signal conversion synchronous trigger generation and network control of the spatially separated synchronisation nodes.…”
Section: Radsync Synchronisation Systemmentioning
confidence: 99%
“…During the trial, the bladeRAD multi-functional radar system was used to simultaneously collect active and PBR data. The bladeRAD system is a low-cost experimental hybrid radar system, developed from a combination of Nuand bladeRF micro 2.0 SDRs [9]. bladeRAD is a staring radar, thus currently does not provide target elevation or azimuth estimations.…”
Section: A Bladerad Hybrid Radar Systemmentioning
confidence: 99%
“…In previous works by Ritchie et al, a high performance multi-role RF sensor based on a Xilinx Radio Frequency System on a Chip (RFSoC) is shown to work in a hybrid radar mode, sensing a human target at two different frequency bands [8]. Additionally, in previous works by this author, the development of a hybrid experimental radar system is presented, where multiple low-cost bladeRF SDRs are utilised for sensing a human and micro-drone target using active radar and Wi-Fi PBR [9].…”
Section: Introductionmentioning
confidence: 99%
“…A radar synchronisation system has been developed to clock and trigger three radar systems, namely, the bladeRAD hybrid radar system [15], the ARESTOR multi-role RF system [16], and the NeXtRAD radar system [4]. The GPSDOs alone, described in the previous section, cannot be used to clock and trigger the radars; instead, a system is needed to derive a common trigger signal, provide network control of GPSDOs, and translate the GPSDO frequency reference to meet the input requirements of each radar system.…”
Section: System Architecturementioning
confidence: 99%