1. How does neural network prediction suppress ship airwake impact?
The research presents a flight control method using neural network prediction to suppress ship airwake impact during carrier landing. By extracting and summarizing carrier landing flight data, the impact of airwake on landing control is modeled using neural network algorithms. This allows for the prediction of airwake impact in subsequent periods. A flight control law is then designed, combining the predicting model of airwake impact with model predictive control. Simulation results demonstrate that this method reduces trajectory deviation influenced by airwake and decreases touchdown dispersions, improving the accuracy of carrier landing.
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2. What is the purpose of dump1030 in air surveillance?
dump1030 is an open-source implementation for decoding 1030-MHz uplink Mode A/C/S interrogations. It aims to enhance air surveillance technologies by providing a cross-platform, plug-and-play solution. The development process of dump1030 adapts a state-of-the-art dump1090 design and implementation, ensuring high detection accuracy based on lab evaluation using synthetically generated interrogation signals. This technology can find immediate application and implementation in both research and industrial settings, contributing to the advancement of next-generation air transportation systems.
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