Statistical analysis of radar parameters from published research

Jackson S. Zaunegger, Paul G. Singerman, Ram M. Narayanan, Muralidhar Rangaswamy

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

Abstract

Determining what radar parameters to use for a given scenario is a non-trivial task. When working in a new radar domain, it is quite common to turn to published literature to understand how to approach a new problem. When reviewing research, there can be such a wide range of values used in a radar design that it can become difficult to determine what values to use when designing a new system. An ideal scenario would be to turn to a single source that provides base listings for different radar parameters, but at the time of writing no source is known. In this work, we aim to statistically analyze published radar literature to determine a base set of radar parameter values for a given domain. These parameters include things such as the carrier frequency, bandwidth, pulse repetition frequency, and target range, among many others. To do this, a base set of parameters that are included in nearly all radar systems design will need to be established. Then, by selecting published research in specific domains (ground penetrating radar, atmospheric sensing, imaging, etc . . .), we can determine the most common values for these parameters. In this paper, we examine the most common values for a given domain, as well as analyze the relationships between these parameters. This information could then be used to develop simulations, optimization problems, or provide insight when developing a new radar system.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXVII
EditorsAbigail S. Hedden, Gregory J. Mazzaro, Ann Marie Raynal
PublisherSPIE
ISBN (Electronic)9781510661844
DOIs
StatePublished - 2023
EventRadar Sensor Technology XXVII 2023 - Orlando, United States
Duration: May 1 2023May 3 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12535
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXVII 2023
Country/TerritoryUnited States
CityOrlando
Period5/1/235/3/23

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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