Honeywell International Inc.

Brennan Kilty

Paul E Christianson

Gloria Logan

David C Vacanti

Brian Paul Bunch

Jan Lukas

Ondrej Kotaba

Michal Dobes

Robert J Jensen

Rodney A Rowen

In some examples, a processor is configured to predict the presence of ice crystals (e.g., high altitude ice crystals) in a volume of airspace based on radar reflectivity values and one or more other types of information indicative of weather conditions in the volume of airspace, such as one or more of: ambient air temperature and altitude. For example, the processor may predict the ice crystals presence by at least estimating the iced water content level within a volume of airspace of interest based on radar reflectivity values for the volume of airspace (e.g., stored as in a three-dimensional buffer) and other information indicative of weather conditions of the volume of airspace. The processor may estimate the iced water content level using a model that relates the information indicative of weather conditions in and around the volume of interest to iced water content in the atmosphere.

Prediction of ice crystal presence in a volume of airspace

A method for tracking weather cells from a moving platform includes receiving, from a detection and ranging system, reflectivity data sampled for a volume of space and generating a feature map based on the reflectivity data, wherein the feature map is a representation of the volume of space that indicates locations with significant weather and generating a first segmented feature map based on the feature map that identifies the location and spatial extent of individual weather cells. The method further includes translating the first segmented feature map and a second segmented feature map, generated from data collected at a different point in time and/or space, to a common frame of reference and comparing the first segmented feature map to the second segmented feature map. The method further includes creating one or more track hypotheses based on the comparison of the first segmented feature map and the second segmented feature map.

Identifying and tracking convective weather cells

Systems and methods for efficiently updating text or symbol annunciations outputted by an avionics system on legacy displays. Instead of using a set sweeping pattern to update the display, a smart updating concept is used. The smart updating concept senses when the pilot is adjusting the selected altitude control (or other user interface device that will alter displayed annunciations), then gives priority to updating the radial lines on the display that contain the annunciation field. Once the annunciation field has been updated, the display returns to normal operation.

Systems and methods for rapid updating of embedded text in radar picture data

Signal compensation systems and methods compensate an estimated range profile from a plurality of detected signal returns from a true range profile, wherein the signal returns correspond to an emitted stepped frequency pulse-train. An exemplary embodiment utilizes knowledge of the radar system design to identify locations, predict power levels, and suppress the contributions of stepped-frequency range sidelobes (ambiguous peaks) in the estimated range profile, resulting in a cleaner and more accurate radar display.

Systems and methods for suppressing ambiguous peaks from stepped frequency techniques

Marine radar systems and methods for producing low power, high resolution range profile estimates. Non-linear Frequency Modulation (NLFM) pulse compression pulses are frequency stepped to form a low power, wide-bandwidth waveform. Periodically, calibration filters are determined and applied to return signals for correcting non-ideal effects in the radar transmitter and receiver.

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Seattle, WA, United States of America

Brennan Kilty