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公开(公告)号:US20240337740A1
公开(公告)日:2024-10-10
申请号:US18297264
申请日:2023-04-07
Inventor: Brandt J. Lomen
Abstract: Techniques are provided for estimation of relative velocity between a receiver platform and a transmitter platform. A methodology implementing the techniques according to an embodiment includes measuring a first time of arrival, a first phase, and a frequency of a first radar pulse received from the transmitter platform. The method also includes measuring a second time of arrival and a second phase of a second radar pulse received from the transmitter platform. The method further includes calculating a relative velocity between the receiver platform and the transmitter platform based on a difference between the first time of arrival and the second time of arrival, a difference between the first phase and the second phase, and the frequency. The method further includes calculating an angle of arrival of the first and second received radar pulses based on a ratio of the calculated relative velocity to a velocity of the receiver platform.
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公开(公告)号:US20230315806A1
公开(公告)日:2023-10-05
申请号:US17712630
申请日:2022-04-04
Inventor: Brandt J. Lomen , Paul Monahan , Matthew Anderson
IPC: G06F17/18
CPC classification number: G06F17/18
Abstract: A method of recognizing a pattern in a signal is provided. The method includes receiving, by a processor and at an input, the signal comprising data; converting, by the processor and based on a plurality of features, the data from the signal into a collection of features; identifying, by the processor, one or more feature-to-feature transitions between features in the collection of features; plotting, by the processor, a directed graph of each of the feature-to-feature transitions, wherein each unique feature in the collection of features is represented by a single vertex and each feature-to-feature transition is represented by a directed edge between two vertices weighted by a corresponding number of each of the feature-to-feature transitions; and detecting, by the processor, a pattern in the data by comparing the weight of each of the feature-to-feature transitions in the directed graph to a user-defined threshold.
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公开(公告)号:US20240195365A1
公开(公告)日:2024-06-13
申请号:US18080302
申请日:2022-12-13
Inventor: Brandt J. Lomen , John . Kimball
CPC classification number: H03F3/195 , H04B1/0096 , H03F2200/451
Abstract: An apparatus for converting frequency of signals includes a first switch having a first input terminal to receive a first input signal, a first output terminal, and a second output terminal, wherein the first switch couples the first input terminal to either the first or the second output terminal. A mixer circuit is coupled to the second output terminal, and is to mix the first input signal to a second input signal, to generate a modified input signal. A filter circuit includes a plurality of programmable filters, to receive the modified input signal and output a filtered signal. A second switch has (i) a second input terminal coupled to the first output terminal, (ii) a third input terminal to receive the filtered signal, and (iii) a third output terminal, wherein the second switch is to couple the third output terminal to either the second or third input terminal.
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公开(公告)号:US11637577B1
公开(公告)日:2023-04-25
申请号:US17584793
申请日:2022-01-26
Inventor: Brandt J. Lomen , Steven R. Grimes , Matthew Anderson
Abstract: A method is provided for correlating signals. The method includes receiving a plurality of data vectors representing a plurality of signals. The method further includes determining, for each of the data vectors, a first set of correlation coefficients, where each of the correlation coefficients in the first set is based on a direct cross-correlation between each of the data vectors. The method further includes calculating an average of the first set of correlation coefficients, and determining, for each of the data vectors, a second set of correlation coefficients, where each of the correlation coefficients in the second set are based on an indirect cross-correlation between each of the data vectors and the average of the first set of correlation coefficients. The method further includes detecting a correlation between at least two of the data vectors based on the second set of correlation coefficients.
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