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公开(公告)号：US20230333233A1
公开(公告)日：2023-10-19
申请号：US17723515
申请日：2022-04-19
Applicant: Infineon Technologies AG
Inventor： Simon ACHATZ , Maximilian ESCHBAUMER
CPC classification number: G01S13/42 , G01S13/584 , G01S7/354 , G01S7/356 , G01S7/417
Abstract: According to various embodiments, a radar system is described comprising a radar receiver configured to receive radio signals, wherein each radio signal is associated with a channel of a plurality of channels, a peak detector configured to perform peak detection using the received radio signals, wherein each detected peak corresponds to a detected object and a direction of arrival estimator configured to, for a detected peak, generate a vector having, for each of the channels, an entry specifying a Doppler Fourier transform result for the channel, supply the vector to a machine learning model trained to output, for each of one or more additional channels, an entry specifying a predicted Doppler Fourier transform result corresponding to the additional channel and perform direction-of-arrival estimation using an output from the machine learning model which the machine learning model outputs in response to being supplied with the vector.
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Patent Agency Ranking
2.发明公开公开(公告)号：US20230350054A1
公开(公告)日：2023-11-02
申请号：US17730218
申请日：2022-04-27
Applicant: Infineon Technologies AG
Inventor： Simon ACHATZ , Maximilian ESCHBAUMER
IPC: G01S13/931 , G01S13/58 , G01S13/89 , G06N3/08 , G01S13/42
CPC classification number: G01S13/89 , G01S13/42 , G01S13/58 , G01S13/931 , G06N3/08
Abstract: According to various embodiments, a radar system is described including a direction of arrival pre-processor configured to, for a detected peak, obtain a Doppler Fourier transform result vector, generate a spatial covariance matrix for the Doppler Fourier transform result vector, and generate an additional spatial covariance matrix by inputting the spatial covariance matrix to a machine learning model trained to predict, from an input spatial covariance matrix, an output spatial covariance matrix such that the output spatial covariance matrix corresponds to a different chirp center frequency than the input covariance spatial covariance matrix and including a direction of arrival estimator configured to perform direction-of-arrival estimation using the additional spatial covariance matrix.
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公开(公告)号：US20230350013A1
公开(公告)日：2023-11-02
申请号：US17730225
申请日：2022-04-27
Applicant: Infineon Technologies AG
Inventor： Simon ACHATZ , Maximilian ESCHBAUMER
IPC: G01S7/35 , G01S7/41 , G01S13/931
CPC classification number: G01S7/356 , G01S7/41 , G01S13/931
Abstract: According to various embodiments, a radar system is described comprising a radar receiver configured to receive radio signals, a range Fourier transform stage configured to generate, for each of a plurality of chirps, a vector of range Fourier transform coefficients, a machine learning model configured to generate, for each of one or more additional chirps, a vector of range Fourier transform coefficients from the vectors of Fourier transform coefficients generated for the plurality of chirps, and an object detector configured to perform velocity estimation of one or more detected objects using the Fourier transform coefficients generated by the machine learning model.
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公开(公告)号：US20210190905A1
公开(公告)日：2021-06-24
申请号：US17115540
申请日：2020-12-08
Applicant: Infineon Technologies AG
Inventor： Andre ROGER , Markus BICHL , Maximilian ESCHBAUMER , Farhan Bin KHALID , Paul MEISSNER
IPC: G01S7/35 , G01S13/536 , G01S13/56
Abstract: A method for the use in a radar system comprises: receiving an RF radar signal; down-converting the received RF radar signal into a base band using a frequency-modulated local oscillator signal including a scanning chirp having a higher bandwidth than a regular chirp bandwidth; generating a digital base band signal based on the down-converted RF radar signal, the digital base band signal including a sequence of samples associated with the scanning chirp; identifying, in the sequence of samples, impaired samples, which are affected by interference; and selecting—based on the position of the impaired samples within the sequence of samples—a sub-band, which has the regular chirp bandwidth, for transmitting chirps of chirp frame used for measurement data acquisition.
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公开(公告)号：US20230350056A1
公开(公告)日：2023-11-02
申请号：US17730229
申请日：2022-04-27
Applicant: Infineon Technologies AG
Inventor： Simon ACHATZ , Maximilian ESCHBAUMER
IPC: G01S13/931 , G01S7/41
CPC classification number: G01S13/931 , G01S7/411 , G01S7/415 , G01S7/417 , G01S2013/93185
Abstract: According to various embodiments, a radar system is described including a first radar processing device and a second radar processing device, wherein the first radar processing device is configured to generate radar data and to transmit the radar data partially to the second radar processing device for further processing, wherein the first radar processing device is configured to omit parts of the radar data from the transmission and wherein the second radar processing device is configured to reconstruct the omitted parts using a machine learning model trained to supplement radar data with additional radar data and is configured to further process the transmitted parts of the radar data in combination with the additional radar data.
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公开(公告)号：US20230350011A1
公开(公告)日：2023-11-02
申请号：US17730212
申请日：2022-04-27
Applicant: Infineon Technologies AG
Inventor： Simon ACHATZ , Maximilian ESCHBAUMER
Abstract: According to various examples, a radar system is described comprising a radar receiver configured to perform sampling of a radio reception signal and to generate a sample for each of a plurality of sampling times, a machine learning model configured to generate, for each of one or more additional sampling times, a sample from the samples generated for the sampling times and an object detector configured to perform range estimation of one or more detected objects using the samples generated by the machine learning model.
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