公开(公告)号：US20230324531A1

公开(公告)日：2023-10-12

申请号：US17932608

申请日：2022-09-15

Applicant: Aptiv Technologies Limited

Inventor： Zhengzheng Li ,  Stuart Rogers ,  Le Zheng

IPC: G01S13/00 ,  G01S13/931 ,  H04B7/0413

CPC classification number: G01S13/003 ,  G01S13/931 ,  H04B7/0413 ,  G01S2013/93271

Abstract: This document describes techniques and systems for asymmetrical frequency-division multiplexing (FDM) for radar systems. In some examples, a radar system includes multiple transmitters, multiple receivers, multiple polyphase shifters, and a processor. The transmitters can transmit electromagnetic (EM) signals in an FDM scheme. The receivers can receive EM signals reflected by one or more objects that include multiple channels. The polyphase shifters can introduce at least four potential phase shifts. The processor can control the polyphase shifters to introduce phase shifts asymmetrically spaced in a frequency spectrum. The processor can determine, using residue estimation and subtraction, potential detections of the objects. In this way, the described asymmetrical FDM for radar systems can support many simultaneous MIMO channels, increase the dynamic range of the radar system, resolve Doppler ambiguities, and provide an efficient processing scheme.

公开(公告)号：US20250035436A1

公开(公告)日：2025-01-30

申请号：US18360690

申请日：2023-07-27

Applicant: Aptiv Technologies Limited

Inventor： Xin Zhang ,  Stuart Rogers ,  Zhengzheng Li

IPC: G01B15/02 ,  G01S13/931

Abstract: Described herein is NLS using a bounded linear initial search space and a fixed grid with pre-calculated variables. An initial first elevation angle corresponding to a direct reflection from an object and an initial second elevation angle corresponding to a multi-path reflection from the object are received along with a grid comprising pre-calculated variables for each of a plurality of grid points. The initial elevation angle pair is then refined by, for a plurality of iterations, determining a closest grid point to a current elevation angle pair and performing a non-linear least squares iteration on the closest grid point using the pre-calculated variables for the closest grid point to determine a next elevation angle pair. When the iterations have converged, a height of the object is calculated based on a final elevation angle pair.

公开(公告)号：US20250033644A1

公开(公告)日：2025-01-30

申请号：US18360682

申请日：2023-07-27

Applicant: Aptiv Technologies Limited

Inventor： Xin Zhang ,  Stuart Rogers ,  Zhengzheng Li

IPC: B60W40/02 ,  B60W60/00 ,  G06F18/2453

Abstract: Described herein is NLS using a bounded linear initial search space and a fixed grid with pre-calculated variables. Specifically, first and second signals with unknown first and second elevation angles, respectively, are received that have been reflected by an object, with the second signal also having been reflected off the ground. A line of second angles is then established as a function of first angles, a sensor height, and a range to the object. The first angles being bound by a function of the sensor height and the range and a function of the sensor height, the range, and the maximum height. A search algorithm is then used to search for an initial elevation angle pair along the line. The initial elevation angle pair may then be fed into a refinement algorithm (e.g., non-linear least squares) to determine the elevation angles associated with the first and second signals.