High Fidelity RF Clutter Modeling and Simulation

TL;DR

This paper reviews advanced RF clutter modeling and simulation techniques, emphasizing physics-based models for site-specific applications, and introduces a radar challenge dataset for benchmarking cognitive radar algorithms.

Contribution

It provides a comprehensive overview of state-of-the-art RF clutter models and introduces a new dataset for testing and benchmarking radar algorithms.

Findings

Physics-based stochastic transfer function models enable accurate site-specific simulations.

Traditional statistical methods are reviewed and contrasted with advanced models.

A new radar challenge dataset is introduced for benchmarking purposes.

Abstract

In this paper, we present a tutorial overview of state-of-the-art radio frequency (RF) clutter modeling and simulation (M&S) 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.