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Near-field SAR for signature and camouflage evaluation in realistic backgrounds

Larsson, Christer LU and Jersblad, Johan (2011) Antenna measurements techniques association 33rd annual symposium In [Host publication title missing] p.1-8
Abstract
Outdoor ranges are commonly used for accurate RCS measurements of full scale

vehicles with or without camouflage. Furthermore, ISAR processing is often used to obtain high quality imagery of the objects. However, these images do not show the vehicles in the environment where they are supposed to operate. This paper describes a ground based SAR system that is used to make accurate measurements on vehicles or other objects in realistic backgrounds. A transportable short range SAR measurement system is constructed by placing a SAR on the bed of an all terrain truck. The radar system is based on a PNA network analyzer without power amplifier and a pair of standard X-band horn antennas. The target range is typically 100 m, which with a... (More)
Outdoor ranges are commonly used for accurate RCS measurements of full scale

vehicles with or without camouflage. Furthermore, ISAR processing is often used to obtain high quality imagery of the objects. However, these images do not show the vehicles in the environment where they are supposed to operate. This paper describes a ground based SAR system that is used to make accurate measurements on vehicles or other objects in realistic backgrounds. A transportable short range SAR measurement system is constructed by placing a SAR on the bed of an all terrain truck. The radar system is based on a PNA network analyzer without power amplifier and a pair of standard X-band horn antennas. The target range is typically 100 m, which with a 5.4 m SAR rail gives a minimum cross-range resolution of 0.3 m at X-band frequencies. The down-range resolution is also adjusted to 0.3 m by adjusting the bandwidth. The SAR processing gain is sufficient to provide high quality images limited only by the background clutter. By using the terrain the objects can be

measured at depression angles up to at least 10°. The SAR images are near field images which are geometrically correct since back projection algorithms are used. The approach also gives very high angle reproducibility. This means that the same measurement geometry can be used to record the signature from a vehicle placed in a background environment before and after the addition of a camouflage system. It is then possible to use the two processed images to make a realistic estimate of the camouflage efficacy in this environment.

Flexible software based entirely on open source components is developed for the data processing, presentation and statistical analysis of the SAR images.

The advantages with this type of setup compared to flying SAR are less complex field trials and higher accuracy in the evaluation of camouflage.

This paper presents results from the evaluation of two generic camouflage nets using reference targets in different backgrounds and SAR images of vehicles. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
RCS, SAR (Synthetic Aperture Radar), Near-Field, Measurement, Imaging
in
[Host publication title missing]
pages
8 pages
publisher
AMTA
conference name
Antenna measurements techniques association 33rd annual symposium
language
English
LU publication?
yes
id
3b2dd265-229e-43a7-bfd6-e03be96ffb09 (old id 2061456)
date added to LUP
2011-08-05 09:23:13
date last changed
2016-04-16 08:26:23
@inproceedings{3b2dd265-229e-43a7-bfd6-e03be96ffb09,
  abstract     = {Outdoor ranges are commonly used for accurate RCS measurements of full scale<br/><br>
vehicles with or without camouflage. Furthermore, ISAR processing is often used to obtain high quality imagery of the objects. However, these images do not show the vehicles in the environment where they are supposed to operate. This paper describes a ground based SAR system that is used to make accurate measurements on vehicles or other objects in realistic backgrounds. A transportable short range SAR measurement system is constructed by placing a SAR on the bed of an all terrain truck. The radar system is based on a PNA network analyzer without power amplifier and a pair of standard X-band horn antennas. The target range is typically 100 m, which with a 5.4 m SAR rail gives a minimum cross-range resolution of 0.3 m at X-band frequencies. The down-range resolution is also adjusted to 0.3 m by adjusting the bandwidth. The SAR processing gain is sufficient to provide high quality images limited only by the background clutter. By using the terrain the objects can be<br/><br>
measured at depression angles up to at least 10°. The SAR images are near field images which are geometrically correct since back projection algorithms are used. The approach also gives very high angle reproducibility. This means that the same measurement geometry can be used to record the signature from a vehicle placed in a background environment before and after the addition of a camouflage system. It is then possible to use the two processed images to make a realistic estimate of the camouflage efficacy in this environment.<br/><br>
Flexible software based entirely on open source components is developed for the data processing, presentation and statistical analysis of the SAR images.<br/><br>
The advantages with this type of setup compared to flying SAR are less complex field trials and higher accuracy in the evaluation of camouflage.<br/><br>
This paper presents results from the evaluation of two generic camouflage nets using reference targets in different backgrounds and SAR images of vehicles.},
  author       = {Larsson, Christer and Jersblad, Johan},
  booktitle    = {[Host publication title missing]},
  keyword      = {RCS,SAR (Synthetic Aperture Radar),Near-Field,Measurement,Imaging},
  language     = {eng},
  pages        = {1--8},
  publisher    = {AMTA},
  title        = {Near-field SAR for signature and camouflage evaluation in realistic backgrounds},
  year         = {2011},
}