<title>Clutter model for VHF SAR imagery</title>

Abstract

We present a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter. The model is used to generate a synthetic forest clutter scene comprised of two components, a background component and a heavy-tailed discrete component. Model parameters are based on characteristics of the scene, such as the radar cross-section of trees, forest thickness, and background radar cross-section. A synthetic SAR image of the scene is generated by modelling the radar imaging process as a lowpass filter and convolving the scene with the impulse response of the radar. We compare the synthetic, single-pass clutter image to measured data and present a metric for evaluating model fit. We also extended the model to describe correlated, multi-pass images for change detection applications.

Clutter-Masked Waveform Design for LPI/LPD Radarcom Signal Encoding

“…In order to accomplish the above, we first generate random samples from the uniform distribution within the interval [0, 1], and input them into the Arcsine distribution’s inverse CDF (8), which then outputs random samples drawn from the Arcsine distribution. We used the uniform distribution with interval [0, 2π] to generate random phase samples , which is characteristic for clutter returns [ 23 ].…”