Turbulence prediction over extended ranges
AssigneeHoneywell International Inc.
InventorsJames C. Kirk, Dongsong Zeng
Life of this patent
Estimating the term…
Abstract
Methods and systems for predicting turbulence. An exemplary system decomposes near-range reflectivity data into multiple adaptive, three-dimensional Gaussian component functions and decomposes turbulence data into multiple adaptive, three-dimensional Gaussian component functions. The multiple adaptive, three-dimensional Gaussian component functions may include parameters, such as center position, amplitude, and dimensional standard deviations that are determined adaptively to maximally match the measured reflectivity. The multiple adaptive, three-dimensional Gaussian component functions may include parameters adjusted to maximally match the measured turbulence data.
Claims16
A method for predicting turbulence at ranges greater than 40 nm using at least one processing device, the method comprising:
- receiving radar reflectivity and turbulence data at ranges less than 40 nm;
- generating a neural network based on the received data;
- receiving radar reflectivity data at ranges greater than 40 nm;
- and
- predicting turbulence data based on the received radar reflectivity data at ranges greater than 40 nm and the generated neural network.
A turbulence prediction system at least partially located on an aircraft, the system comprising:
- a radar system configured to generate radar reflectivity data at ranges greater than 40 nm;
- and
- a processing device in signal communication with the radar system, the processing device configured to predict turbulence data based on the received radar reflectivity data and a neural network previously trained using radar reflectivity and turbulence data at ranges less than 40 nm,
- wherein the radar system and the processing device are located on an aircraft.
A system for predicting turbulence at ranges greater than 40 nm using a processing device, the system comprising:
- a means for receiving radar reflectivity and turbulence data at ranges less than 40 nm;
- a means for generating a neural network based on the received data;
- a means for receiving radar reflectivity data at ranges greater than 40 nm;
- and
- a means for predicting turbulence data based on the received radar reflectivity data at ranges greater than 40 nm and the generated neural network.
Dependencies are inferred from the claim text.