# US 2024/0201357 A1 · Object sensing method and radar apparatus > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2024/0201357 A1 - Document ID: US20240201357A1 - Status: Published application - Kind: A1 - Application number: 18/090,521 - Filed: 2022-12-29 - Published: 2024-06-20 - Earliest claimed: 2022-12-15 - Assignees: RichWave Technology Corp. - Applicants: RichWave Technology Corp. - Inventors: Chun-Hsien Hsiao - Web page: https://patentgrep.com/patent/US20240201357A1 ## CPC - G01S 13/42: Simultaneous measurement of distance and other co-ordinates (indirect measurement G01S13/46) - G01S 7/356: {involving particularities of FFT processing} - G01S 7/41: using analysis of echo signal for target characterisation; Target signature; Target cross-section - G01S 13/931: of land vehicles - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES ## 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. ## Claims ### Claim 1 An object sensing method, adapted to a single antenna radar, comprising: obtaining initial sensing data through a single antenna, wherein the initial sensing data is generated according to an echo received by the single antenna, and the initial sensing data comprises sensing intensities of a plurality of time points; converting the initial sensing data into pre-processing sensing data, wherein the pre-processing sensing data comprises a corresponding relationship between a plurality of distances and the sensing intensities at the time points; obtaining at least one feature parameter in the pre-processing sensing data, wherein the at least one feature parameter responds to existence of at least one object; determining an inertia of the at least one feature parameter between the time points, wherein the inertia is a period during which the at least one object exists at the time points; and determining a number of the at least one object according to the inertia. ### Claim 2 (depends on 1) The object sensing method according to claim 1, wherein the time points comprise a first time point and a second time point, the second time point is later than the first time point, and determining the inertia of the at least one feature parameter between the time points comprises: changing an inertia of a first feature parameter according to a relationship between the first feature parameter and a second feature parameter, wherein the first feature parameter is a feature parameter at the first time point, and the second feature parameter is a feature parameter at the second time point. ### Claim 3 (depends on 2) The object sensing method according to claim 2, wherein changing the inertia of the first feature parameter comprises: determining whether the first feature parameter with a first identification code matches the second feature parameter, wherein the first identification code is obtained in response to matching success or an initial time point among the time points; increasing the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code matching the second feature parameter; and decreasing the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code not matching the second feature parameter. ### Claim 4 (depends on 3) The object sensing method according to claim 3, wherein decreasing the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code not matching the second feature parameter comprises: determining whether the first feature parameter matches a third feature parameter, wherein the third feature parameter is another feature parameter at the second time point; increasing the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code matching the third feature parameter; and decreasing the inertia of the first feature parameter with the first identification code in response to the feature parameter with the first identification code not matching the third feature parameter. ### Claim 5 (depends on 3) The object sensing method according to claim 3, further comprising: assigning a second identification code to the second feature parameter in response to the feature parameter with the first identification code not matching the second feature parameter at the second time point. ### Claim 6 (depends on 3) The object sensing method according to claim 3, wherein determining whether the first feature parameter with the first identification code matches the second feature parameter comprises: determining a cost according to the relationship between the first feature parameter and the second feature parameter; and determining that the first feature parameter matches the second feature parameter according to the cost. ### Claim 7 (depends on 6) The object sensing method according to claim 6, wherein the relationship between the first feature parameter and the second feature parameter comprises at least one of a distance between the first feature parameter and the second feature parameter, the inertia of the first feature parameter, and a moving direction change of an object corresponding to the first feature parameter. ### Claim 8 (depends on 1) The object sensing method according to claim 1, wherein the time points further comprise a third time point, and determining the number of the at least one object according to the inertia comprises: counting at least one fourth feature parameter with an inertia greater than an inertia threshold at the third time point, and taking the at least one fourth feature parameter as the existence of the at least one object, wherein the at least one fourth feature parameter is a feature parameter of the third time point; and determining the number of the at least one object at the third time point according to a counting result of the at least one fourth feature parameter. ### Claim 9 (depends on 8) The object sensing method according to claim 8, wherein the time points further comprise a fourth time point, the fourth time point is later than the third time point, and the object sensing method further comprises: retaining an identification code of the at least one fourth feature parameter at the fourth time point. ### Claim 10 (depends on 4) The object sensing method according to claim 4, wherein the first feature parameter, the second feature parameter, and the third feature parameter are all a peak, and conditions of the peak comprise at least one of the followings: higher than two neighboring values; higher than a peak threshold; and not noise determined by a constant false alarm rate (CFAR). ### Claim 11 (depends on 10) The object sensing method according to claim 10, wherein the peak comprises a strong peak and a weak peak, the first feature parameter and the second feature parameter are both the strong peak, the third feature parameter is the weak peak, and the object sensing method further comprises: determining the peak as the strong peak in response to the peak being the highest within a first distance window; and determining the peak as the weak peak in response to the peak being the highest within a second distance window, wherein the second distance window is smaller than the first distance window. ### Claim 12 (depends on 1) The object sensing method according to claim 1, wherein converting the initial sensing data into the pre-processing sensing data comprises: performing fast Fourier transform (FFT), denoising, and normalization on the initial sensing data to generate the pre-processing sensing data. ### Claim 13 A radar apparatus, comprising: a single antenna; a transmitting circuit, coupled to the single antenna, and configured to transmit a sensing signal; a receiving circuit, coupled to the single antenna, and configured to receive an echo of the sensing signal; and a processor, coupled to the receiving circuit, configured to convert initial sensing data corresponding to the echo into pre-processing sensing data, and calculating a number of at least one object corresponding to the pre-processing sensing data, wherein the initial sensing data comprises sensing intensities of a plurality of time points, and the pre-processing sensing data comprises a corresponding relationship between a plurality of distances and the sensing intensities at the time points. ### Claim 14 (depends on 13) The radar apparatus according to claim 13, wherein the processor is further configured to: obtain at least one feature parameter in the pre-processing sensing data, wherein the at least one feature parameter responds to existence of at least one object; determine an inertia of the at least one feature parameter between the time points, wherein the inertia is a period during which the at least one object exists at the time points; and determine a number of the at least one object according to the inertia. ### Claim 15 (depends on 14) The radar apparatus according to claim 14, wherein the time points comprise a first time point and a second time point, the second time point is later than the first time point, and the processor is further configured to change an inertia of a first feature parameter according to a relationship between the first feature parameter and a second feature parameter, the first feature parameter is a feature parameter at the first time point, and the second feature parameter is a feature parameter at the second time point. ### Claim 16 (depends on 15) The radar apparatus according to claim 15, wherein the processor is further configured to: determine whether the first feature parameter with a first identification code matches the second feature parameter, wherein the first identification code is obtained in response to matching success or an initial time point among the time points; increase the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code matching the second feature parameter; and decrease the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code not matching the second feature parameter. ### Claim 17 (depends on 16) The radar apparatus according to claim 16, wherein the processor is further configured to: determine whether the first feature parameter matches a third feature parameter in response to the first feature parameter with the first identification code not matching the second feature parameter, wherein the third feature parameter is another feature parameter at the second time point; increase the inertia of the first feature parameter with the first identification code in response to the first feature parameter with the first identification code matching the third feature parameter; and decrease the inertia of the first feature parameter with the first identification code in response to the feature parameter with the first identification code not matching the third feature parameter. ### Claim 18 (depends on 16) The radar apparatus according to claim 16, wherein the processor is further configured to assign a second identification code to the second feature parameter in response to the feature parameter with the first identification code not matching the second feature parameter at the second time point. ### Claim 19 (depends on 16) The radar apparatus according to claim 16, wherein the processor is further configured to determine a cost according to the relationship between the first feature parameter and the second feature parameter, and determine that the first feature parameter matches the second feature parameter according to the cost. ### Claim 20 (depends on 13) The radar apparatus according to claim 13, wherein the processor is further configured to: count at least one fourth feature parameter with an inertia greater than an inertia threshold at a third time point, and taking the at least one fourth feature parameter as an existence of the at least one object, wherein the at least one fourth feature parameter is a feature parameter of the third time point; and determine the number of the at least one object at the third time point according to a counting result of the at least one fourth feature parameter.