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Signal-to-Noise (SNR) for SAR (1)

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Jul 24, 2020, 6:28:07 PM
Created by
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Jun 7, 2016, 5:14:33 PM
SNRimage=Pt⋅GA⋅Ae⋅σ⋅Gr⋅Ga(4π)2⋅R4⋅Lradar⋅Latmos⋅(k⋅T⋅FN)⋅BN
(Pt)Transmitter signal power
(GA)Transmitter antenna gain factor
(Ae)Receiver antenna effective area
(R)Magnitude of the range vector from target to antenna
(σ)Target Radar Cross Section
(Lradar)Microwave transmission loss factor due to miscellaneous sources
(Latmos)Atmospheric loss factor due to the propagating wave
(T)Nominal scene noise temperature
(FN)System noise factor for the receiver
(BN)Noise bandwidth at the antenna port
(Gr)SNR gain due to range processing (pulse compression)
(Ga)SNR gain due to azimuth processing (coherent pulse integration)
Tags
Engineering Physics Radar SAR
UUID
4d892aac-2cd3-11e6-9770-bc764e2038f2

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-Noise1 equation 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 (1), references 2 pages
This equation, Signal-to-Noise (SNR) for SAR (1), is used in 2 pages
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