US 11,914,026 B2
Radar image generation mehtod and apparatus for performing the same
Hyungju Kim, Daejeon (KR); Sunghyun Hwang, Daejeon (KR); Sungjin Yoo, Daejeon (KR); Woo Jin Byun, Daejeon (KR); Jaehyun Park, Busan (KR); Jiho Seo, Busan (KR); Jonghyeok Lee, Busan (KR); Yong-Gi Hong, Busan (KR); and Seongjun Hwang, Busan (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR); and PUKYONG NATIONAL UNIVERSITY INDUSTRY-UNIVERSITY COOPERATION FOUNDATION, Busan (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR); and Pukyong National University Industry-University Cooperation Foundation, Busan (KR)
Filed on Mar. 8, 2021, as Appl. No. 17/194,732.
Claims priority of application No. 10-2020-0030606 (KR), filed on Mar. 12, 2020.
Prior Publication US 2021/0286069 A1, Sep. 16, 2021
Int. Cl. G01S 13/89 (2006.01); G01S 13/42 (2006.01); G01S 13/72 (2006.01); G01S 13/87 (2006.01); G01S 13/931 (2020.01)
CPC G01S 13/89 (2013.01) [G01S 13/42 (2013.01); G01S 13/72 (2013.01); G01S 13/87 (2013.01); G01S 13/931 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A radar image generation method comprising:
receiving a received signal received at each of radars that are distributed and arranged;
generating an input signal by processing the received signal;
generating a support vector that represents sparsity for sparsity modeling based on the input signal;
updating the support vector;
updating a coefficient corresponding to the support vector; and
generating a radar image based on the support vector and the coefficient,
wherein the generating of the input signal comprises:
generating a first de-ramped signal by de-ramping the received signal;
generating a second de-ramped signal by processing the first de-ramped signal; and
reformulating the second de-ramped signal based on a measurement area,
wherein the updating of the support vector comprises computing a support update matrix for updating the support vector,
wherein the computing of the support update matrix comprises initializing the support vector.