Time, Angle and Range Averaging of Radar Echoes from Distributed Targets

Gene B. Walker University of Oklahoma, Norman 73019

Search for other papers by Gene B. Walker in
Current site
Google Scholar
PubMed
Close
,
P. S. Ray National Severe Storms Laboratory, Norman, OK

Search for other papers by P. S. Ray in
Current site
Google Scholar
PubMed
Close
,
D. Zrnic National Severe Storms Laboratory, Norman, OK

Search for other papers by D. Zrnic in
Current site
Google Scholar
PubMed
Close
, and
R. Doviak National Severe Storms Laboratory, Norman, OK

Search for other papers by R. Doviak in
Current site
Google Scholar
PubMed
Close
Full access

Abstract

In radar meteorology, the average of the weather echo power is used in the computation of reflectivity, liquid water content, rainfall rate, etc. The uncertainty in measuring or estimating average weather echo power is then important in establishing confidence in the above computed values. To help establish a confidence level, we note that there exists a unique relationship between the weather radar echo correlation function and the receiver detected output correlation function. This unique relationship is used here to calculate the variance of the average (mean) weather echo estimates. Another measure of uncertainty related to the variance is the number (or equivalent number) of independent samples. In this work, we show the equivalent number of independent samples for average weather echoes at the output of three common radar receivers: linear, logarithmic and square law. This is shown for correlated samples of receiver output at different times, angles and ranges, Gaussian-shaped Doppler spectra and antenna patterns, a rectangular transmitted pulse, and an infinite bandwidth receiver.

Abstract

In radar meteorology, the average of the weather echo power is used in the computation of reflectivity, liquid water content, rainfall rate, etc. The uncertainty in measuring or estimating average weather echo power is then important in establishing confidence in the above computed values. To help establish a confidence level, we note that there exists a unique relationship between the weather radar echo correlation function and the receiver detected output correlation function. This unique relationship is used here to calculate the variance of the average (mean) weather echo estimates. Another measure of uncertainty related to the variance is the number (or equivalent number) of independent samples. In this work, we show the equivalent number of independent samples for average weather echoes at the output of three common radar receivers: linear, logarithmic and square law. This is shown for correlated samples of receiver output at different times, angles and ranges, Gaussian-shaped Doppler spectra and antenna patterns, a rectangular transmitted pulse, and an infinite bandwidth receiver.

Save