Presentation + Paper
14 June 2023 Statistical analysis of radar parameters from published research
Jackson S. Zaunegger, Paul G. Singerman, Ram M. Narayanan, Muralidhar Rangaswamy
Author Affiliations +
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jackson S. Zaunegger, Paul G. Singerman, Ram M. Narayanan, and Muralidhar Rangaswamy "Statistical analysis of radar parameters from published research", Proc. SPIE 12535, Radar Sensor Technology XXVII, 1253502 (14 June 2023); https://doi.org/10.1117/12.2663479
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KEYWORDS
Radar

Antennas

Statistical analysis

Ground penetrating radar

Ice

Soil moisture

Polarization

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