An ultrasonic
ranging calibration method and apparatus based on a multi-parameter coupled compensation sensing network is disclosed. The method includes: first, constructing an ultrasonic
ranging system to accurately acquire and transmit basic time parameters and multi-dimensional perturbation parameters; second, constructing a multi-parameter coupled compensation sensing network for distance calibration, fusing multiple parameters through a nonlinear perturbation injection function to construct an input vector, and using a hierarchical
coupling compensation method to achieve step-by-step error correction, outputting a compensation amount or compensation factor based on the basic
ranging result to complete
distance correction; subsequently, collecting sample data under multiple perturbation parameter combinations and multiple reflection conditions, preprocessing the data, dividing it into training and test sets, and using an error constraint strategy based on the predicted deviation distribution for closed-loop training optimization to improve the model's generalization ability; finally, deploying the trained model to the main control
processing unit to achieve real-time dynamic compensation ranging. This invention effectively overcomes the accuracy limitations of traditional ultrasonic ranging technology in complex environmental perturbations and multi-reflection characteristic
adaptation scenarios, significantly improving ranging accuracy and
scenario adaptability, and promoting the application expansion of ultrasonic ranging technology in complex scenarios such as industry,
intelligent robots, and autonomous driving.