Transmitting staggered PRT (pulse repitition time) pulses is a well-established technique for extending the measured unambiguous velocity of weather radar signals. The drawback of the SPRT technique is the clutter filtering of the resulting unequally spaced time series samples. A computationally expensive and complicated technique has be proposed by Sachidananda and Zrnic, “Ground Clutter Filtering Dual-Polarized, Staggered PRT Sequences”, JTECH 2006 which uses signal processing for reconstruction of the missing samples in the SPRT sequences. The spectrum of the reconstructed signal contains five replicas of the true underlying spectrum and thus, all five replicas need to be cluttered filtered.

The approach suggested here avoids that complication. The new technique is developed theoretically and is compared to the “Sachidananda” technique. Modeling results are presented and the technique is illustrated with staggered PRT data collected with KTLX and KOUN radars. The technique can provide similar performance characteristics but the implementation of the new filtering technique is greatly simplified.