Rotor unmanned aerial vehicle RCS prediction method and device

The invention provides a rotor unmanned aerial vehicle RCS prediction method and device. The method comprises the steps of obtaining RCS time sequence data of a rotor unmanned aerial vehicle; constructing an LSTM network model, and training the LSTM network model by using the RCS time sequence data to obtain a prediction model; and inputting the current RCS time sequence data acquired by the rotor unmanned aerial vehicle into the prediction model to obtain predicted RCS data. According to the scheme, the RCS of the unmanned rotorcraft at the next moment can be predicted, and the requirements of accurate detection and recognition of the unmanned rotorcraft are met. 本发明提供了一种旋翼无人机RCS预测方法及装置，该方法包括：获取旋翼无人机的RCS时序数据；构建LSTM网络模型，利用RCS时序数据对LSTM网络模型进行训练，得到预测模型；将旋翼无人机所获取的当前RCS时序数据输入预测模型，得到预测RCS数据。本方案能够预测得到旋翼无人机在下一时刻的RCS，满足无人机精确探测与识别的需要。