US 11,875,708 B2
Automotive radar scene simulator
Kamal Sarabandi, Ann Arbor, MI (US); and Xiuzhang Cai, Ypsilanti, MI (US)
Assigned to THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed by THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed on Sep. 24, 2019, as Appl. No. 16/579,959.
Claims priority of provisional application 62/741,232, filed on Oct. 4, 2018.
Prior Publication US 2020/0111382 A1, Apr. 9, 2020
Int. Cl. G09B 9/54 (2006.01); G01S 13/93 (2020.01); G01S 7/41 (2006.01); G01S 7/40 (2006.01); G01S 13/931 (2020.01)
CPC G09B 9/54 (2013.01) [G01S 7/4052 (2013.01); G01S 7/415 (2013.01); G01S 13/931 (2013.01); G01S 7/4091 (2021.05)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method for constructing a reduced statistical model for a given target captured by an automotive radar, comprising:
identifying, by a computer program executed by a computer processor, one or more attributes for the given target;
selecting, by the computer program executed by the computer processor, an initial set of values for one or more radar parameters;
determining, by an electromagnetic field solver executed by the computer processor, a plurality of radar cross-section values for the given target using the initial set of values while randomly varying values for the one or more target attributes, wherein the electromagnetic field solver are computer executable instructions that solve Maxwell equations directly to provide the plurality of radar cross-section values; and
constructing, by the computer program executed by a computer processor, parametric statistical model for one or more scatters distributed in two-dimensional or three-dimensional space from the plurality of radar cross-section values, where the parametric statistical model represents the given target.