Systems and methods for calibrating dual polarization radar systems

Abstract

A dual polarization radar system is calibrated based on real-time data measurements, such as measured horizontal and vertical reflectivities, ZH and ZV. In this regard, the radar system analyzes the reflected power measurements to identify which measurements are associated with reflections from a respective spherical object. Using such measurements, the system determines a system differential reflectivity value, and combines such value with reflected power measurements for calibration. Since the calibration is based on real-time data measurements, the calibration process may run simultaneously with the collection of weather data. Thus, it is unnecessary to suspend weather monitoring activities in order to perform the calibration, and the calibration can be run as often as is desired without interfering with such weather monitoring activities. Further, the calibration process is immune to the weather events within range of the radar system. Accordingly, it is possible for the calibration to be performed at any time and without interfering with the weather monitoring activities regardless of the types of weather events occurring within the vicinity of the radar system.

Description

CROSS REFERENCE TO RELATED APPLICATION[0001]This application claims priority to and is a continuation-in-part of U.S. patent application Ser. No. 13 / 441,149 entitled “Systems and Methods for Calibrating Dual Polarization Radar Systems” (Publication Number 2012 / 0256785), which claims priority to U.S. Provisional Patent Application No. 61 / 472,773, entitled “Systems and Methods for Calibrating Dual Polarization Radar Systems” and filed on Apr. 7, 2011, both of which are incorporated herein by reference.RELATED ART[0002]A dual polarization radar system transmits and measures the reflectivity of at least two waveforms, often a horizontally polarized waveform and a vertically polarized waveform. The difference between the horizontal reflectivity (ZH), which is a measure of the reflected power in the horizontally polarized return, and the vertical reflectivity (ZV), which is a measure of the reflected power in the vertically polarized return, is indicative of the shape of the radar target ...

AI Technical Summary

Problems solved by technology

In transmitting pulses and measuring returns, a radar system may introduce error causing inaccuracies in the raw measurement data.

However, many conventional calibration processes cannot be performed while data is being gathered.

That is, the normal operation of the radar system must be undesirably suspended in order to perform the calibration process.

In addition, many conventional calibration processes are limited in the times that they can be performed such that the calibration process is performed less frequently than might be desired.

Thus, the actual measured reflectivity difference is indicative of the system error.

Unfortunately, for such calibration, the antenna of the radar system must be pointed to the raindrops directly above the antenna during the calibration thereby preventing the radar system from collecting data from geographic regions typically scanned by the system.

In addition, to provide optimum results, the measured raindrops should be within a certain size range, and there may a relatively long time between weather events that produce rain of the desired size directly over the radar system.

Indeed, in some geographic regions, opportunities to calibrate the radar system may be months apart.

For the calibration process to be successful, the Sun should be at a certain elevation relative to the radar system, and the times at which the calibration process can be run are thus limited.

In addition, when the calibration is being performed, the radar system is unable to collect data from geographic regions typically scanned by the system.

Thus a heretofore unaddressed need exists for a calibration process for dual polarization radar systems that can be performed more frequently and in the presence of various types of weather.

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