A radar three-dimensional imaging method and device based on an angular domain decomposition of a surface array
By decomposing the field of view of vehicle-mounted radar into local angular domain sub-regions, constructing local angular domain decomposition weight functions, and performing local wavenumber domain imaging processing, the problems of model mismatch and high computational complexity in vehicle-mounted radar 3D imaging are solved, achieving efficient 3D imaging results.
CN122017829BActive Publication Date: 2026-07-24SHANGHAI AUXILIARY IMAGING TECHNOLOGY CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI AUXILIARY IMAGING TECHNOLOGY CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-24
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Figure CN122017829B_ABST
Abstract
The application provides a radar three-dimensional imaging method and device based on a planar array angle domain decomposition, which comprises the following steps: collecting original two-dimensional planar array data, and performing transformation processing to obtain first data; performing angle domain decomposition on the first data, dividing the overall field of view into two or more local angle domain sub-regions, and constructing a corresponding local angle domain decomposition weight function for each local angle domain sub-region; performing weighted processing on the first data by using the local angle domain decomposition weight function to obtain second data of each local angle domain sub-region; performing local wave number domain three-dimensional imaging processing on each second data respectively to obtain a three-dimensional sub-image of the corresponding local angle domain sub-region; and fusing the three-dimensional sub-images of all local angle domain sub-regions to obtain a final three-dimensional imaging result. While maintaining the high efficiency advantage of wave number domain processing, the propagation differences in different angle domain regions are decomposed and modeled, and the three-dimensional imaging quality in near field, large field of view and complex geometric scene is improved.
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