A Geometric View of Multistatic Radar Detection

Stephen D. Howard; Songsri Sirianunpiboon; Douglas Cochran

doi:10.1109/ACSSC.2018.8645202

A Geometric View of Multistatic Radar Detection

Stephen D. Howard, Songsri Sirianunpiboon, Douglas Cochran

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	911-915
Number of pages	5
ISBN (Electronic)	9781538692189
DOIs	https://doi.org/10.1109/ACSSC.2018.8645202
State	Published - Feb 19 2019
Event	52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States Duration: Oct 28 2018 → Oct 31 2018

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2018-October
ISSN (Print)	1058-6393

Conference

Conference	52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Country/Territory	United States
City	Pacific Grove
Period	10/28/18 → 10/31/18

Keywords

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

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2018.8645202

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). Article 8645202 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645202

A Geometric View of Multistatic Radar Detection. / Howard, Stephen D.; Sirianunpiboon, Songsri; Cochran, Douglas.
Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. ed. / Michael B. Matthews. IEEE Computer Society, 2019. p. 911-915 8645202 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Howard, SD, Sirianunpiboon, S & Cochran, D 2019, A Geometric View of Multistatic Radar Detection. in MB Matthews (ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018., 8645202, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2018-October, IEEE Computer Society, pp. 911-915, 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, Pacific Grove, United States, 10/28/18. https://doi.org/10.1109/ACSSC.2018.8645202

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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.",

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A Geometric View of Multistatic Radar Detection

Abstract

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Keywords

ASJC Scopus subject areas

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