Signal-to-Noise (SNR) for SAR (2)

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Equation / Last modified by KurtHeckman on 2016/10/26 14:00
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TylerJones.Signal-to-Noise (SNR) for SAR (2)

The Signal-to-Noise ratio for a Synthetic Aperture Radar calculator compute a factor that indicates the picture quality for a Synthetic Aperture Radar (SAR) based on numerous antenna and target characteristics (see inputs).

For an alternative  Signal-to-Noise ratio for a Synthetic Aperture Radar calculator, CLICK HERE.

The Signal-to-Noise equation1 is a measure of how fine a picture is produced by a Synthetic Aperture Radar.  A higher SNR means a finer picture (better quality).  A lower SNR means a coarser picture (worse quality).  For more information on this equation and its parameters, please see the Synthetic Aperture Radar (SAR) Calculator.


  1. ^ Performance Limits for Synthetic Aperture Radar - Second Edition.  Sandia National Laboratories, Albuquerque, NM.  Printed February 2006. 


This equation, Signal-to-Noise (SNR) for SAR (2), is listed in 1 Collection.