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High Fidelity RF Clutter Modeling and Simulation
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DOI：10.1109/MAES.2022.3208862.png)
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摘要
En 中文
In this article, we present a tutorial overview of state-of-the-art radio frequency (RF) clutter modeling and simulation techniques. Traditional statistical approximation-based methods will be reviewed followed by more accurate physics-based stochastic transfer function clutter models that facilitate site-specific simulations anywhere on earth. The various factors that go into the computation of these transfer functions will be presented, followed by several examples across multiple RF applications. Finally, we introduce a radar challenge dataset generated using these tools that can enable testing and benchmarking of all cognitive radar algorithms and techniques.
Keyword:
Clutter
Radar
Data models
Atmospheric modeling
Transfer functions
Stochastic processes
Scattering
High-Fidelity
Physics-Based
Modeling and Simulation
Radio Frequency
Cognitive Radar
Stochastic Transfer Function
Green's Function Impulse Response
期刊
IF:
3.8
论文数:
2.1K
被引数:
2.5K
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