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Beamforming of LOFAR Radio-Telescope for Passive Radiolocation Purposes
- Source :
- Remote Sensing, Volume 13, Issue 4, Pages: 810, Remote Sensing, Vol 13, Iss 810, p 810 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- This paper presents the results of investigations on the beamforming of a low-frequency radio-telescope LOFAR which can be used as a receiver in passive coherent location (PCL) radars for aerial and space object detection and tracking. The use of a LOFAR radio-telescope for the passive tracking of space objects can be a highly cost-effective solution due to the fact that most of the necessary equipment needed for passive radiolocation already exists in the form of LOFAR stations. The capability of the radiolocation of planes by a single LOFAR station in Borowiec is considered to be ‘proof of concept’ for future research focused on the localization of space objects. Beam patterns of single sets of LOFAR antennas (known as tiles), as well as for the entire LOFAR station, are presented and thoroughly discussed in the paper. Issues related to grating lobes in LOFAR beam patterns are also highlighted. A beamforming algorithm used for passive radiolocation purposes, exploiting data collected by a LOFAR station, is also discussed. The results of preliminary experiments carried out with real signals collected by the LOFAR station in Borowiec, Poland confirm that the appropriate beamforming can significantly increase the radar’s detection range, as well as the detection’s certainty.
- Subjects :
- Beamforming
Computer science
02 engineering and technology
Grating
010502 geochemistry & geophysics
01 natural sciences
law.invention
Passive radar
passive radiolocation
beamforming
Radio telescope
0203 mechanical engineering
law
Radar
lcsh:Science
grating lobes
0105 earth and related environmental sciences
Remote sensing
020301 aerospace & aeronautics
LOFAR
Radiolocation
antenna arrays
Proof of concept
PCL
General Earth and Planetary Sciences
lcsh:Q
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....2a208781faec71f4e84e37c6d452e9f2
- Full Text :
- https://doi.org/10.3390/rs13040810