Research on Beidou Satellite Signal Recognition Method Based on LSTM
In order to effectively reduce and resist the influence of interference on signal reception and positioning,and improve the stability and reliability of navigation system,a signal recognition method of the Beidou satellite based on long short-term memory(LSTM)is designed to utilize the Beidou navigation satellite system(BDS)signals without distortion.The real information source of the Beidou satellite is modulated to obtain the input signal for the satellite signal modulation pattern recognition algorithm.The satel-lite signal modulation pattern recognition algorithm based on the LSTM is designed,and the model is a new LSTM network cascaded by the traditional LSTM network and convolutional neural networks(CNN).The features between I and Q data can be extracted through the CNN network,and the sequential features in the data can be extracted and fused through the traditional LSTM network,which achieves the.recognition of the Beidou satellite signals.The spatial-time adaptive filter constraint algorithm combining the spa-tial-time anti-jamming technology and time-domain anti-jamming technology is designed to realize the joint suppression of narrowband and wideband interference of the Beidou satellite signals,so as to effectively improve the recognition effect.The experimental results show that the recognition accuracy of the design method is high,with a maximum of close to 90％,and the highest output signal-to-stem ratio is 78.52 dB after anti-interference.
LSTMBeidou satellite signalsignal recognitionspace time adaptive filteringsignal anti-interference
万方数据
维普
