一种跨水输电线SAR多重散射特征识别与预测方法
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID SOUTHWEST ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2026-03-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively distinguish whether SAR echo signals across water transmission lines are true primary scattering or secondary/tertiary scattering generated by multipath, and cannot analyze the morphological evolution pattern of "point-line-nothingness", resulting in a large number of weak but physically significant multiple scattering signals being missed or misjudged.
A method based on the coupling of geometric optics and water surface roughness is adopted. The radar scattering cross section is calculated through an electromagnetic scattering physical model. Combined with the threshold analysis of the water surface backscattering coefficient, a Bayesian probabilistic inference model is used for feature recognition and prediction. A three-dimensional spatial configuration and scattering tracking model of the transmission line are established to identify and classify primary, secondary and tertiary scattering features.
It achieves accurate identification and hierarchical interpretation of multiple scattering characteristics of power transmission lines, improving the detection accuracy to 86.5% and reducing the false negative rate to 8%, thus filling the technical gap in multi-channel parallel-environmental differentiated modulation mechanism.
Smart Images
Figure CN121934084B_ABST