GNSS deception jamming detection method based on multiple parameters

The invention discloses a GNSS deception jamming detection method based on multiple parameters. The method comprises the steps that an initial signal set is acquired through a receiver; performing normalization processing on the initial signal set to obtain a target data set; training a decision tree classifier according to the target data set; performing interference detection on a to-be-detected signal according to the decision tree classifier to obtain a detection result; wherein the initial signal set comprises carrier-to-noise ratio information, pseudo-range information, Doppler frequency information, carrier phase information, clock drift information and clock error information. The method is high in accuracy and efficiency, and can be widely applied to the technical field of communication signal processing. 本发明公开了一种基于多参数的GNSS欺骗干扰检测方法，方法包括：通过接收机获取初始信号集合；对所述初始信号集合进行归一化处理得到目标数据集合；根据所述目标数据集合训练决策树分类器；根据所述决策树分类器对待检测信号进行干扰检测，得到检测结果；其中，所述初始信号集合包括载噪比信息、伪距信息、多普勒频率信息、载波相位信息、钟漂信息、钟差信息。本发明的准确率高且效率高，可广泛应用于通信信号处理技术领域