This invention discloses a low-altitude flight
intelligent control information system integrating integrated
sensing data, relating to the fields of communication and low-
altitude control technology. It includes an integrated sensing
base station, a reference
signal receiving unit, a cognitive closed-loop engine, and a control decision module. The cognitive closed-loop engine executes a closed-loop process consisting of S1 reference-driven learning, S2 collaborative active identification, and S3 feedback-driven evolution: S1 utilizes reference signals from cooperative targets for directional acquisition and feature
annotation, constructing a target physical feature
knowledge base; S2, for non-cooperative targets, plans multi-
base station collaborative acquisition tasks to maximize
information gain, performs hierarchical matching reasoning on multi-dimensional features, and outputs the model, confidence level, and abnormal features; S3 verifies the identification accuracy based on control and response feedback, dynamically updating the
knowledge base, feature validity map, and identification
model parameters. This invention enables the
system to possess continuous learning and self-optimization capabilities, improving the accuracy of identifying non-cooperative targets in complex low-altitude environments.