Joint radar-communications waveform multiple access and synthetic aperture radar receiver

Andrew Herschfelt, Daniel Bliss

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

5 Scopus citations

Abstract

Radar and communications systems are often deployed in already crowded environments. The growing demand for additional communications users in frequency bands previously reserved for radar users motivates cooperation between these systems. One solution to the problem of radar-communications coexistence is to develop joint systems that simultaneously perform both tasks. One aspect of this co-design solution is to design waveforms simultaneously suitable for both systems' goals. Using a joint radar-communications waveform promises mutually beneficial performance gains while limiting spectral impact. We develop and simulate an example multiple access channel topology in which users simultaneously communicate and perform synthetic aperture radar imaging with a joint waveform. A joint radar-communications receiver is designed in the context of this example and shown to feasibly accomplish both systems' goals with a single waveform.

Original languageEnglish (US)
Title of host publicationConference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
EditorsMichael B. Matthews
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-74
Number of pages6
Volume2017-October
ISBN (Electronic)9781538618233
DOIs
StatePublished - Apr 10 2018
Event51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017 - Pacific Grove, United States
Duration: Oct 29 2017Nov 1 2017

Other

Other51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
CountryUnited States
CityPacific Grove
Period10/29/1711/1/17

Keywords

  • Joint Radar-Communications
  • Joint Radar-Communications Waveform Design
  • Radar-Communications Multiple Access

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation

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