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公开(公告)号:US20240201357A1
公开(公告)日:2024-06-20
申请号:US18090521
申请日:2022-12-29
Applicant: RichWave Technology Corp.
Inventor: Chun-Hsien Hsiao
Abstract: An object sensing method and a radar apparatus are provided. In the method, initial sensing data is obtained through a single antenna. The initial sensing data is generated according to an echo received by the single antenna. The initial sensing data includes sensing intensities of multiple time points. The initial sensing data is converted into pre-processing sensing data. The pre-processing sensing data includes a corresponding relationship between multiple distances and the sensing intensities at those time points. One or more feature parameters of the pre-processing sensing data are obtained. The feature parameters respond to the existence of one or more objects. Inertia of the feature parameter between those time points is determined. The inertia is a period when the object exists at those time points. The number of objects is determined according to inertia. Accordingly, the accuracy of number estimation is improved.
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公开(公告)号:US11573287B2
公开(公告)日:2023-02-07
申请号:US17028977
申请日:2020-09-22
Applicant: RichWave Technology Corp.
Inventor: Chun-Hsien Hsiao
Abstract: A method of updating background components of an echo signal for radar includes: transforming M sets of N pieces of time domain data to frequency domain to generate M sets of P magnitudes corresponding to P frequency bins, wherein the M sets of N pieces of time domain data include spatial information of an object; and updating P background components corresponding to the P frequency bins according to the M sets of P magnitudes corresponding to the P frequency bins.
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公开(公告)号:US20210141052A1
公开(公告)日:2021-05-13
申请号:US17028977
申请日:2020-09-22
Applicant: RichWave Technology Corp.
Inventor: Chun-Hsien Hsiao
Abstract: A method of updating background components of an echo signal for radar includes: transforming M sets of N pieces of time domain data to frequency domain to generate M sets of P magnitudes corresponding to P frequency bins, wherein the M sets of N pieces of time domain data include spatial information of an object; and updating P background components corresponding to the P frequency bins according to the M sets of P magnitudes corresponding to the P frequency bins.
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