US 12,436,234 B2
Radar device
Takuya Nakamura, Nisshin (JP); and Teppei Yoshida, Nisshin (JP)
Assigned to DENSO CORPORATION, Kariya (JP); and MIRISE Technologies Corporation, Nisshin (JP)
Filed by DENSO CORPORATION, Kariya (JP); and MIRISE Technologies Corporation, Nisshin (JP)
Filed on Feb. 2, 2023, as Appl. No. 18/163,429.
Claims priority of application No. 2022-082282 (JP), filed on May 19, 2022.
Prior Publication US 2023/0375665 A1, Nov. 23, 2023
Int. Cl. G01S 7/35 (2006.01); G01S 7/02 (2006.01); G01S 7/36 (2006.01); G01S 13/34 (2006.01); G01S 13/931 (2020.01)
CPC G01S 7/354 (2013.01) [G01S 7/023 (2013.01); G01S 7/36 (2013.01); G01S 13/34 (2013.01); G01S 13/931 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A radar device comprising:
a section generation unit configured to generate a plurality of sections into which a continuous time-series signal is divided;
a section representative value calculation unit configured to calculate a section representative value that is a representative value of the time-series signal within each of the sections;
a classification unit configured to classify the section representative value between a high interference section representative value containing interference and a low interference section representative value containing interference less than that of the high interference section representative value;
a threshold calculation unit configured to calculate an interference determination threshold based on the low interference section representative value; and
a determination value calculation unit configured to calculate an interference determination value based on the interference determination threshold,
wherein
the classification unit calculates a classification threshold based on the section representative value which is one of a plurality of section representative values, and
the classification unit classifies the plurality of section representative values between the high interference section representative value and the low interference section representative value based on the classification threshold.