Abstract
RADIO SCIENCE,
VOL. 44,
RS5012,
9 PP., 2009
doi:10.1029/2009RS004141
Probabilistic identification of high-frequency radar backscatter from the ground and ionosphere based on spectral characteristics
Department of Chemistry and Physics, Southeastern Louisiana University, Hammond, Louisiana, USA
Department of Chemistry and Physics, Southeastern Louisiana University, Hammond, Louisiana, USA
National Science Foundation, Arlington, Virginia, USA
We present an analysis of the spectral characteristics of 1-hop HF radar ground scatter and
- and 1
-hop ionospheric scatter as measured by the Super Dual Auroral Radar Network. Our objective is to determine criteria that
separate signals scattered from the ground and the ionosphere. We find that for both ground scatter and ionospheric scatter
that the probability density function of backscatter Doppler velocity decreases exponentially with velocity, but with significantly
different e-folding velocities for the two types of backscatter. We use this observation to separate the total probability density of
Doppler velocity and spectral width into two component distributions. This process yields the posterior probability that a
signal of given Doppler velocity and spectral width is ground scatter. The resulting criterion for classification of a particular
signal as ground scatter, v < 33.1 m/s + 0.139w − (0.00133 s/m)w 2, significantly reduces the probability that a signal will be erroneously classified as ionospheric scatter, while only moderately
increasing the probability that an ionospheric scatter signal will be erroneously classified as ground scatter. Finally, we
validate the ground scatter probability function by demonstrating that the backscatter virtual height increases as expected
with increasing probability of ground scatter.
Received 6 January 2009; accepted 29 July 2009; published 17 October 2009.
Citation: (2009), Probabilistic identification of high-frequency radar backscatter from the ground and ionosphere based on spectral characteristics, Radio Sci., 44, RS5012, doi:10.1029/2009RS004141.
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