公开(公告)号：US20220404466A1

公开(公告)日：2022-12-22

申请号：US17682973

申请日：2022-02-28

Applicant: University of Kansas

Inventor： Christian Curtis Jones ,  Lumumba Harnett ,  Charles Andrew Mohr ,  Shannon David Blunt

IPC: G01S7/41

Abstract: The present application provides techniques for reducing noise in sensor-based systems, such as radar systems. In particular, techniques referred to background supplemental cancellation (BaSC) and background supplemental loading (BaSL) are disclosed and facilitate improved detection of moving targets in certain types of radar systems, such as radar systems based on Reiterative minimum-mean square error (RMMSE) estimation formulations. The BaSC technique may utilize a hard cancellation, where clutter cancellation is performed prior to estimation, while the BaSL technique may utilize a “soft” cancellation technique whereby clutter cancellation is performed jointly with estimation. The clutter cancellation provided via the BaSC and BaSL techniques improves the accuracy of the radar system with respect to performing target detection.