194 ASR-9 Weather Systems Processor Signal Processing Algorithm Improvements

Thursday, 17 September 2015
Oklahoma F (Embassy Suites Hotel and Conference Center )
John Y. N. Cho, MIT Lincoln Laboratory, Lexington, MA

New signal processing algorithms for the ASR-9 Weather Systems Processor (WSP) are introduced. The Moving Clutter Spectral Processing for Uneven-sampled Data with Dealiasing (MCSPUDD) algorithm suite removes isolated moving clutter targets and corrects aliased velocity values on a per-range-gate basis. The spectral differencing technique is applied to the low- and high-beam data to produce a dual-beam velocity estimate that is more accurate than the current autocorrelation-lag-1-based approach. Comparisons with Terminal Doppler Weather Radar (TDWR) data show that estimate errors are reduced by 8%, 15%, and 15% for the low-, high-, and dual-beam velocities, respectively.
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