Optimization of Radar Parameters for Maximum Detection Probability Under Generalized Discrete Clutter Conditions Using Stochastic Geometry Article Swipe
Shobha Sundar Ram
,
Gaurav Singh
,
Gourab Ghatak
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/ojsp.2021.3121199
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/ojsp.2021.3121199
We propose an analytical framework based on stochastic geometry (SG) formulations to estimate a radar's detection performance under generalized discrete clutter conditions. We model the spatial distribution of discrete clutter scatterers as a homogeneous Poisson point process and the radar cross-section of each extended scatterer as a random variable of the Weibull distribution. Using this framework, we derive a metric called the radar detection coverage probability as a function of radar parameters such as transmitted power, system noise temperature and radar bandwidth; and clutter parameters such as clutter density and mean clutter cross-section. We derive the optimum radar bandwidth for maximizing this metric under noisy and cluttered conditions. We also derive the peak transmitted power beyond which there will be no discernible improvement in radar detection performance due to clutter limited conditions. When both transmitted power and bandwidth are fixed, we show how the detection threshold can be optimized for best performance. We experimentally validate the SG results with a hybrid of Monte Carlo and full wave electromagnetic solver based simulations using finite difference time domain (FDTD) techniques.
Related Topics
Concepts
Clutter
Radar
Constant false alarm rate
Algorithm
Probability density function
Shape parameter
Bistatic radar
Monte Carlo method
Continuous-wave radar
Computer science
Weibull distribution
Radar engineering details
Mathematics
Acoustics
Statistics
Physics
Radar imaging
Telecommunications
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/ojsp.2021.3121199
- https://ieeexplore.ieee.org/ielx7/8782710/9336068/09580712.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 52
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3126155484
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3126155484Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/ojsp.2021.3121199Digital Object Identifier
- Title
-
Optimization of Radar Parameters for Maximum Detection Probability Under Generalized Discrete Clutter Conditions Using Stochastic GeometryWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Shobha Sundar Ram, Gaurav Singh, Gourab GhatakList of authors in order
- Landing page
-
https://doi.org/10.1109/ojsp.2021.3121199Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/8782710/9336068/09580712.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/8782710/9336068/09580712.pdfDirect OA link when available
- Concepts
-
Clutter, Radar, Constant false alarm rate, Algorithm, Probability density function, Shape parameter, Bistatic radar, Monte Carlo method, Continuous-wave radar, Computer science, Weibull distribution, Radar engineering details, Mathematics, Acoustics, Statistics, Physics, Radar imaging, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2020: 1Per-year citation counts (last 5 years)
- References (count)
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52Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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