A Geometric View of Multistatic Radar Detection

Stephen D. Howard, Songsri Sirianunpiboon, Douglas Cochran

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

Abstract

Coherent detection for multistatic radar is generally described in ways that obscure its underlying geometrical structure. This paper presents a view of multistatic radar in which the radar transmission essentially labels position-velocity space with subspaces. The detector for a target with a particular position and velocity is thus a matched subspace detector applied to the received signals. Within this framework, the ambiguity function takes a relatively simple form involving relative path losses. Furthermore, it is shown to be bounded by a function which purely geometric, in that it depends only on the waveforms and the geometry of the multistatic radar.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages911-915
Number of pages5
ISBN (Electronic)9781538692189
DOIs
Publication statusPublished - Feb 19 2019
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

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Keywords

  • Geometric methods
  • MIMO radar
  • Multistatic ambiguity function
  • Multistatic radar
  • Multistatic radar detection

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Howard, S. D., Sirianunpiboon, S., & Cochran, D. (2019). A Geometric View of Multistatic Radar Detection. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 911-915). [8645202] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645202