US 12,216,199 B2
De-aliased imaging for a synthetic aperture radar
Le Zheng, Los Angeles, CA (US); Yu Zhang, Thousand Oaks, CA (US); Edgar Ortiz, Newbury Park, CA (US); and Clinton Colby, Santa Rosa Valley, CA (US)
Assigned to Aptiv Technologies AG, Schaffhausen (CH)
Filed by Aptiv Technologies AG, Schaffhausen (CH)
Filed on Oct. 15, 2021, as Appl. No. 17/503,212.
Claims priority of provisional application 63/221,997, filed on Jul. 15, 2021.
Prior Publication US 2023/0018183 A1, Jan. 19, 2023
Int. Cl. G01S 13/90 (2006.01); B60W 50/06 (2006.01); B60W 60/00 (2020.01); G06T 5/20 (2006.01); G06T 5/70 (2024.01)
CPC G01S 13/9027 (2019.05) [B60W 50/06 (2013.01); G06T 5/20 (2013.01); G06T 5/70 (2024.01); B60W 60/0015 (2020.02); B60W 2420/408 (2024.01); G06T 2207/10044 (2013.01); G06T 2207/30252 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of de-aliased imaging for a synthetic aperture radar, the method comprising:
identifying, based on multiple frames of signals received by a plurality of receive channels of a radar system, range-Doppler detections corresponding to each receive channel of the plurality of receive channels;
applying a back-projection algorithm to the range-Doppler detections identified for each of the receive channels to determine a set of pixels for each respective receive channel, each pixel in each of the sets of pixels indicative of the range-Doppler detections identified at a position corresponding to that pixel;
deriving, from each set of pixels, initial images related to each receive channel;
applying a de-aliasing filter to the initial images derived from the back-projection algorithm to produce a refined image; and
outputting, to a system for controlling a vehicle, the refined image produced by the de-aliasing filter applied to the initial images derived from the back-projection algorithm.