Abstract

One of the main challenges to the use of phased array radar for weather observations is the implementation of dual polarization with acceptable levels of cross-polar fields induced by the antenna. For example, to achieve acceptable differential reflectivity $(Z_\mathrm{DR})$ bias (i.e., less than 0.1 dB) using simultaneous transmission and reception of horizontally and vertically polarized waves, the isolation between coaxial cross-polar and copolar beams needs to be in excess of 50 dB. This presents a formidable challenge because sufficient isolation cannot be achieved at an affordable price by antenna hardware alone. Hence, additional approaches are required to reduce $Z_\mathrm{DR}$ bias due to cross-polar fields. One such approach is pulse-to-pulse phase coding of the transmitted waves. Herein, this approach is evaluated using theoretical analysis and simulated and time series data from a weather radar. The main criteria for evaluation are the bias and standard deviation of $Z_\mathrm{DR}$ estimates. The results indicate that phase coding has the capability to significantly decrease $Z_\mathrm{DR}$ bias without a substantial increase in the standard deviation of estimates.

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