Design and processing of a self-mixing passive forward scatter radar fence for space debris tracking

Justin K.A. Henry, Ram M. Narayanan, Puneet Singla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The goal of space domain awareness (SDA) is to maintain the safety of communication and navigational processes within the space environment. This includes the tracking of space debris targets which possess high enough velocities to destroy satellites and jeopardize the lives of astronauts. Current technologies tasked with space debris monitoring employ large, quasi-monostatic arrays using S-band probe signals. To reduce cost, alleviate spectrum congestion, and expediate deployment, this paper proposes a self-mixing passive radar technique applied to multiple targets and sensors for identifying the Doppler signature from received signals. It was found that the self-mixing technique can isolate the Doppler signal in the single target case, and the Doppler signals along with Doppler difference signals in the multi-target and multi-sensor cases. In addition, a discrete, integer relationship exists between the Doppler signature at different receivers and is shown to occur when one of the receivers loses Doppler resolution.

Original languageEnglish (US)
Title of host publicationSensors and Systems for Space Applications XVI
EditorsGenshe Chen, Khanh D. Pham
PublisherSPIE
ISBN (Electronic)9781510662087
DOIs
StatePublished - 2023
EventSensors and Systems for Space Applications XVI 2023 - Orlando, United States
Duration: Apr 30 2023May 5 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12546
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSensors and Systems for Space Applications XVI 2023
Country/TerritoryUnited States
CityOrlando
Period4/30/235/5/23

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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