Resolution of elevation ambiguity in one-dimensional radar processing
US12158518B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 6, 2020 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Dec 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/93275
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Systems and methods for resolving elevation ambiguity include acquiring, using a 1-D horizontal radar antenna array, a radar frame with range and azimuth information, and predicting a target elevation based on the frame by computing a depth map with a plurality of target depths assigned to corresponding azimuth-elevation pairs. Computing the depth map includes processing the radar frame with an encoder-decoder structured deep convolutional neural network (CNN). The CNN may be trained with a dataset including training radar frames acquired in a number of environments, and compensated ground truth depth maps associated with those environments. The compensated ground truth depth maps may be generated by subtracting a ground-depth from a corresponding ground truth depth map. The ground truth depth maps may be acquired with a 2-D range sensor, such as a LiDAR sensor, a 2-D radar sensor, and/or an IR sensor. The radar frame may also include Doppler data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.