Rainfall and surface runoff effect decoupling method and device based on wireless channel state information space-time atlas and storage medium

By using a method based on CSI spatiotemporal maps and a dual-decoder autoencoder, the effects of rainfall and surface runoff were decoupled, solving the problem of data loss in existing monitoring systems under extreme weather conditions, and improving the accuracy of flood monitoring and the reliability of communication.

CN121980255APending Publication Date: 2026-05-05SOUTHWEAT UNIV OF SCI & TECH
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Patent Information

Application Number
CN202610246505.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-02
Publication Date
2026-05-05

AI Technical Summary

Technical Problem

Existing flood monitoring systems are prone to power or communication outages during extreme weather, resulting in data loss at critical moments. Furthermore, existing wireless channel state information methods based on single features are insufficient to accurately estimate rainfall and water accumulation, leading to feature ambiguity and affecting monitoring accuracy and communication reliability.

Method used

A method based on CSI spatiotemporal maps and dual-decoder autoencoders is adopted to decouple rainfall and surface runoff effects. By sharing the encoder and dual-decoder structure, and combining background smoothing constraints and texture sparsity constraints, end-to-end decoupling is achieved, separating the low-frequency background changes caused by rainfall from the high-frequency sparse texture caused by water accumulation.

Benefits of technology

It improves the estimation accuracy of flood-related environmental parameters, enhances the reliability of communication in harsh environments, reduces the bit error rate, and improves sensing accuracy and link robustness.

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Abstract

The invention discloses a rainfall and surface runoff effect decoupling method based on a wireless channel state information space-time atlas, and relates to the field of wireless environment perception and flood monitoring. The method comprises the following steps: acquiring multi-subcarrier channel state information (CSI) of a commercial wireless link; carrying out abnormal point elimination, amplitude calibration and phase purification on the CSI; constructing a CSI space-time atlas containing an amplitude channel and a phase channel in a preset time window according to time and subcarrier indexes; inputting the space-time atlas into a double-decoder convolution auto-encoder model, extracting mixed features by a shared encoder, reconstructing a smooth background component by a rainfall decoder, reconstructing a sparse texture component by a runoff decoder, and realizing rainfall attenuation and earth surface ponding multipath effect decoupling; rainfall intensity estimation and surface ponding detection / depth estimation are realized based on the decoupling component, and decoupled channel estimation can be used for receiving end equalization to improve communication reliability. According to the method, a prior environment geometric or physical model is not needed, and the environment sensing precision can be improved and the communication error rate can be reduced in a composite effect scene.
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