Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas

Research output: Contribution to conferencePaper

42 Downloads (Pure)

Abstract

Space debris is an increasing problem, with ca. 18,000 objects large enough to be tracked from the ground and conservative estimates of 670,000 small (1 – 10 cm) debris. Collisions have become a key issue in operation and decommissioning of spacecraft, adding costs and risks to space missions in all orbits, with the added threat of collisional cascading if some debris fields become dense enough. Their accurate mapping in 3-D, and their evolution
with time, therefore become paramount, but in-flight approaches are constrained by limited fields of view and limited spatial resolutions. The shapes of debris are of interest as it might affect long-term movements, and the
larger ones will be of interest for retrieval missions and in the emerging field of debris exploitation. Leveraging on developments in acoustic imaging of complex subsea targets (e.g. Guigné, 1986; Blondel and Caiti, 2006; Guigné
and Blondel, 2017), we propose an approach based on a collection of transducers acting as both EM transmitters and EM receivers, imaging debris fields in 4 dimensions (space and time) and using techniques such as beam steering and waveform inversion to retrieve as much information as possible on their shape and size distributions. Accurately located nanosatellites (as a constellation or in very small swarms) are positioned dynamically to image a particular volume in space. Individual sources are repeatedly actuated, with the other nanosatellites in the swarm acting as receivers. This gives access to a potentially large series of multistatic scattering measurements of any target. These are processed in real-time within each node, reducing the overall computation burden. The first result is a volumetric image of debris within the field of view aggregated from all nodes. Beam steering focuses on diffractions, creating virtual pencil beams from which high-resolution imagery can be formed, yielding information on sizes of individual targets and on shapes (via multi-angle diffraction patterns). This requires accurate positioning of the individual transducer nodes (nanosatellites), achievable using global positioning networks and EM time-of-flight checks between nodes. By varying the relative positions of nodes in the swarm, it is also possible to adapt the focusing to
regions of particular interest. By using several nodes as transmitters, positive/destructive interference between sources can also be used to induce high signals in places of interest and null signals in other places (for example to
avoid interference with or detection by instruments within the field of view). This enabling technology is adaptive, as the number of individual nodes can be adapted to suit operational requirements, from small groups to larger
constellations of nanosatellites. It is also dynamic as the virtual antenna they create can be changed very fast, either by repositioning them or only activating particular transmitters/receivers, making for responsive space missions. Onboard data processing allows fast, distributed processing, making individual nodes more affordable, and the modular aspect allow growing constellations or re-deploying subsets as mission profiles evolve. Beyond Earth orbit, this
approach can also be used to map planetary environments and assist future asteroid mining operations.
Original languageEnglish
Number of pages7
Publication statusPublished - 23 Oct 2017
Event15th Reinventing Space Conference - Strathclyde University Technology & Innovation Centre, Glasgow, UK United Kingdom
Duration: 23 Oct 201726 Oct 2017
Conference number: 15
http://rispace.org/

Conference

Conference15th Reinventing Space Conference
Abbreviated titleRISpace
CountryUK United Kingdom
CityGlasgow
Period23/10/1726/10/17
Internet address

Fingerprint

beam steering
constellations
Nanosatellites
debris
Debris
nanosatellites
antennas
Antennas
Imaging techniques
field of view
space missions
transmitters
positioning
Transducers
Transmitters
onboard data processing
transducers
Orbits
planetary environments
receivers

Keywords

  • space
  • space debris
  • space science
  • radar
  • satellite
  • multiaspect imaging
  • satellite constellation

ASJC Scopus subject areas

  • Aerospace Engineering
  • Physics and Astronomy (miscellaneous)

Cite this

Blondel, P., Guigné, J., & Mundell, C. (2017). Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas. Paper presented at 15th Reinventing Space Conference, Glasgow, UK United Kingdom.

Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas. / Blondel, Philippe; Guigné, Jacques; Mundell, Carole.

2017. Paper presented at 15th Reinventing Space Conference, Glasgow, UK United Kingdom.

Research output: Contribution to conferencePaper

Blondel, P, Guigné, J & Mundell, C 2017, 'Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas' Paper presented at 15th Reinventing Space Conference, Glasgow, UK United Kingdom, 23/10/17 - 26/10/17, .
Blondel P, Guigné J, Mundell C. Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas. 2017. Paper presented at 15th Reinventing Space Conference, Glasgow, UK United Kingdom.
Blondel, Philippe ; Guigné, Jacques ; Mundell, Carole. / Imaging large fields of small targets with shaped EM fields, adaptive beam steering and dynamic constellation antennas. Paper presented at 15th Reinventing Space Conference, Glasgow, UK United Kingdom.7 p.
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AU - Blondel, Philippe

AU - Guigné, Jacques

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N1 - This is connected to a joint patent application (filed early 2017), not entered into Pure yet.

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N2 - Space debris is an increasing problem, with ca. 18,000 objects large enough to be tracked from the ground and conservative estimates of 670,000 small (1 – 10 cm) debris. Collisions have become a key issue in operation and decommissioning of spacecraft, adding costs and risks to space missions in all orbits, with the added threat of collisional cascading if some debris fields become dense enough. Their accurate mapping in 3-D, and their evolutionwith time, therefore become paramount, but in-flight approaches are constrained by limited fields of view and limited spatial resolutions. The shapes of debris are of interest as it might affect long-term movements, and thelarger ones will be of interest for retrieval missions and in the emerging field of debris exploitation. Leveraging on developments in acoustic imaging of complex subsea targets (e.g. Guigné, 1986; Blondel and Caiti, 2006; Guignéand Blondel, 2017), we propose an approach based on a collection of transducers acting as both EM transmitters and EM receivers, imaging debris fields in 4 dimensions (space and time) and using techniques such as beam steering and waveform inversion to retrieve as much information as possible on their shape and size distributions. Accurately located nanosatellites (as a constellation or in very small swarms) are positioned dynamically to image a particular volume in space. Individual sources are repeatedly actuated, with the other nanosatellites in the swarm acting as receivers. This gives access to a potentially large series of multistatic scattering measurements of any target. These are processed in real-time within each node, reducing the overall computation burden. The first result is a volumetric image of debris within the field of view aggregated from all nodes. Beam steering focuses on diffractions, creating virtual pencil beams from which high-resolution imagery can be formed, yielding information on sizes of individual targets and on shapes (via multi-angle diffraction patterns). This requires accurate positioning of the individual transducer nodes (nanosatellites), achievable using global positioning networks and EM time-of-flight checks between nodes. By varying the relative positions of nodes in the swarm, it is also possible to adapt the focusing toregions of particular interest. By using several nodes as transmitters, positive/destructive interference between sources can also be used to induce high signals in places of interest and null signals in other places (for example toavoid interference with or detection by instruments within the field of view). This enabling technology is adaptive, as the number of individual nodes can be adapted to suit operational requirements, from small groups to largerconstellations of nanosatellites. It is also dynamic as the virtual antenna they create can be changed very fast, either by repositioning them or only activating particular transmitters/receivers, making for responsive space missions. Onboard data processing allows fast, distributed processing, making individual nodes more affordable, and the modular aspect allow growing constellations or re-deploying subsets as mission profiles evolve. Beyond Earth orbit, thisapproach can also be used to map planetary environments and assist future asteroid mining operations.

AB - Space debris is an increasing problem, with ca. 18,000 objects large enough to be tracked from the ground and conservative estimates of 670,000 small (1 – 10 cm) debris. Collisions have become a key issue in operation and decommissioning of spacecraft, adding costs and risks to space missions in all orbits, with the added threat of collisional cascading if some debris fields become dense enough. Their accurate mapping in 3-D, and their evolutionwith time, therefore become paramount, but in-flight approaches are constrained by limited fields of view and limited spatial resolutions. The shapes of debris are of interest as it might affect long-term movements, and thelarger ones will be of interest for retrieval missions and in the emerging field of debris exploitation. Leveraging on developments in acoustic imaging of complex subsea targets (e.g. Guigné, 1986; Blondel and Caiti, 2006; Guignéand Blondel, 2017), we propose an approach based on a collection of transducers acting as both EM transmitters and EM receivers, imaging debris fields in 4 dimensions (space and time) and using techniques such as beam steering and waveform inversion to retrieve as much information as possible on their shape and size distributions. Accurately located nanosatellites (as a constellation or in very small swarms) are positioned dynamically to image a particular volume in space. Individual sources are repeatedly actuated, with the other nanosatellites in the swarm acting as receivers. This gives access to a potentially large series of multistatic scattering measurements of any target. These are processed in real-time within each node, reducing the overall computation burden. The first result is a volumetric image of debris within the field of view aggregated from all nodes. Beam steering focuses on diffractions, creating virtual pencil beams from which high-resolution imagery can be formed, yielding information on sizes of individual targets and on shapes (via multi-angle diffraction patterns). This requires accurate positioning of the individual transducer nodes (nanosatellites), achievable using global positioning networks and EM time-of-flight checks between nodes. By varying the relative positions of nodes in the swarm, it is also possible to adapt the focusing toregions of particular interest. By using several nodes as transmitters, positive/destructive interference between sources can also be used to induce high signals in places of interest and null signals in other places (for example toavoid interference with or detection by instruments within the field of view). This enabling technology is adaptive, as the number of individual nodes can be adapted to suit operational requirements, from small groups to largerconstellations of nanosatellites. It is also dynamic as the virtual antenna they create can be changed very fast, either by repositioning them or only activating particular transmitters/receivers, making for responsive space missions. Onboard data processing allows fast, distributed processing, making individual nodes more affordable, and the modular aspect allow growing constellations or re-deploying subsets as mission profiles evolve. Beyond Earth orbit, thisapproach can also be used to map planetary environments and assist future asteroid mining operations.

KW - space

KW - space debris

KW - space science

KW - radar

KW - satellite

KW - multiaspect imaging

KW - satellite constellation

M3 - Paper

ER -