1results about How to "Improve stand-alone performance" patented technology

A method for dynamic beam optimization in satellite communication and a satellite communication terminal are disclosed. The terminal has a locally pre-installed hybrid architecture deep learning model. The specific steps are as follows: The terminal collects spatiotemporal feature data such as space, time, orbit, interference, and position in real time and stores it in a local historical database; it calculates the instantaneous phase angle of the satellite based on the position features and satellite ephemeris, identifies the scene type, and adapts the interference features to obtain optimized features; it extracts historical multi-frame spatiotemporal position features that match the current phase angle, combines them with the optimized features to construct a multi-dimensional feature matrix, inputs it into the model, and outputs spatial and temporal feature scores; it calculates dynamic weights by combining real-time interference and scene, balances the spatiotemporal score decision ratio, integrates historical reputation scores to calculate a comprehensive beam score, selects the optimal beam, and stores the decision result back into the local historical database. This invention integrates spatiotemporal multi-dimensional features, scene-based signal processing, and local deep learning inference to achieve beam optimization, improving the reliability of satellite communication and the efficiency of beam decision-making.