Rosemount Aerospace Limited

Goodrich Corporation

Andrew Paul Mack

Dennis J Cronin

Karl Gable Drutowski

An air data sensing probe or MFP includes a barrel having multiple pressure sensing ports for sensing multiple pressures. Instrumentation coupled to the pressure sensing ports provides electrical signals related to the multiple pressures. A neural network, coupled to the instrumentation, receives as inputs the electrical signals related to the multiple pressures, and in response, the neural network provides, as an output, electrical signals indicative of at least one local air data parameter for the air data sensing probe.

Multi-function air data probes employing neural networks for determining local air data parameters

A method of determining accurately and expeditiously the frequency of a coherent signal from an incoming electrical signal is disclosed. The method comprises the steps of: generating a time sequence of sampled data signals from the incoming electrical signal; detecting the coherent signal in the time sequence of sampled data signals and generating a frequency estimate thereof; and determining the frequency of the detected coherent signal based on a function of the frequency estimate and a time segment of sampled data signals associated with the coherent signal. A system for performing the same is also disclosed.

System and method of determining the frequency of a coherent burst signal

A method and system for detecting a coherent signal of unknown frequency from an incoming electrical signal comprising a multiplicity of frequencies is disclosed. A time sequence of sample data signals generated from the incoming electrical signal is decomposed into a plurality of frequency range signals using wavelet functions. The coherent signal is detected in the time sequence based on the frequency range signals. In one embodiment, a program gate array is used to process the time sequence of data samples using wavelet functions. In another embodiment, the data samples are decomposed using Haar scaling and wavelet functions to form smoothed and detailed components of the frequency range signals. The frequency range signals may be compared to at least one predetermined threshold signal to detect the coherent signal in the time sequence of sample data signals.

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Minneapolis, MN, United States of America

Andrew Paul Mack