Method and device for estimating third-order motion parameters of a target based on high-order phase fusion
By constructing a third-order polynomial phase model and performing high-order phase fusion estimation, the problem of target energy dispersion in complex traffic scenarios of vehicle-mounted millimeter-wave radar is solved, and accurate estimation of third-order motion parameters is achieved, improving detection robustness and accuracy, while reducing computational complexity and storage overhead.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI AUXILIARY IMAGING TECHNOLOGY CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-06-16
AI Technical Summary
Existing vehicle-mounted millimeter-wave radars struggle to accurately estimate third-order motion parameters in complex traffic scenarios, leading to target energy dispersion, reduced spectral peaks, enhanced sidelobes, and decreased signal-to-noise ratio, thus affecting detection reliability and the accuracy of subsequent parameter estimation.
A high-order phase fusion-based method is adopted to construct a third-order polynomial phase model and perform high-order phase fusion estimation. The estimated values of the third-order motion parameters are obtained by multi-order delay product and multi-delay weighted fusion. After third-order phase compensation, the estimated values of the second-order motion parameters are obtained. Finally, the model is converted into a single-frequency slow-time complex sequence for target motion parameter estimation.
Without relying on dense grid search, it significantly improves the robustness and accuracy of maneuvering target detection, reduces computational complexity and storage overhead, and achieves a balance between real-time performance and computational cost.
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Abstract
Citation Information
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