Paper
16 May 2006 Multi-class correlated clutter map for high resolution radar simulation
Perry Vanderford, Bridget Sanders, Richard Olson, DeWayne Satterfield, Joe Morris
Author Affiliations +
Abstract
High resolution millimeter wave RADAR has become a reality in today's sensor world. System development and simulation-based acquisition are increasing the demands for high fidelity environmental models. Therefore, high resolution clutter models are imperative. The RADAR ground clutter signal is most often treated as some random variable with a given probability distribution function with some mean value depending upon the particular RADAR, desired clutter properties, and relative geometry. This paper will show the results of implementing a technique to correlate adjacent clutter scatterers in the clutter model while maintaining the overall clutter statistics. This correlated clutter will be matched to a clutter class map which was derived from visual data of a specific terrain location. Processed images from a high resolution RADAR simulation will be shown and compared to the visual images and clutter maps.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Perry Vanderford, Bridget Sanders, Richard Olson, DeWayne Satterfield, and Joe Morris "Multi-class correlated clutter map for high resolution radar simulation", Proc. SPIE 6208, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing XI, 62080H (16 May 2006); https://doi.org/10.1117/12.667281
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KEYWORDS
Radar

Roads

Speckle

Statistical modeling

Synthetic aperture radar

Visualization

Convolution

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