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Proceedings Paper

Incorporating weather conditions and various scatterers into volumetric radar clutter simulation
Author(s): Riitta Kerminen; Juha Jylhä; Timo Ala-Kleemola; Juho Vihonen; Ari Visa
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Paper Abstract

This paper presents a method for generating volumetric clutter for air surveillance radar simulation. Complex valued radar signal consists of magnitude and phase. In the presented simulation, radar clutter signal is created from magnitude and phase distribution and then filtered imitating the radar signal formation. Radar geometry can be integrated to the simulation by manipulating magnitude, phase, and phase difference distributions. Magnitude is affected by range bin size and distance from radar. Also weather condition and polarization effect on the signal. These can be controlled with adjustments to the distribution that the matrix is created from. This solution offers a simple way to create background to realistic radar simulation. Different distributions are used for signal magnitude and phase of various clutter sources. Typically, volumetric clutter source consists of many evenly sized scatterers. Preliminary phase, originating from randomly distributed particles, can be considered evenly distributed. Phase difference in long time, on the other hand, shows the radial movement of particles. Therefore, phase difference can be modeled, for example, with Gaussian distribution and magnitude with Weibull distribution, of course, depending on true environment. As an example, chaff is simulated with differing radial wind.

Paper Details

Date Published: 12 October 2006
PDF: 6 pages
Proc. SPIE 6362, Remote Sensing of Clouds and the Atmosphere XI, 636221 (12 October 2006); doi: 10.1117/12.689877
Show Author Affiliations
Riitta Kerminen, Tampere Univ. of Technology (Finland)
Juha Jylhä, Tampere Univ. of Technology (Finland)
Timo Ala-Kleemola, Tampere Univ. of Technology (Finland)
Juho Vihonen, Tampere Univ. of Technology (Finland)
Ari Visa, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 6362:
Remote Sensing of Clouds and the Atmosphere XI
James R. Slusser; Klaus Schäfer; Adolfo Comerón, Editor(s)

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