Airborne Global Navigation Satellite System Spoofing Interference Autonomous Detection Algorithm Based on Inertial Navigation System/Distance Measuring Equipment-Aided
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摘要: 全球导航卫星系统(GNSS)欺骗导致目标接收机生成错误的定位结果。利用惯性导航系统(INS)辅助，基于卡尔曼滤波新息序列构造卡方检验统计量是检测机载GNSS欺骗的有效手段。然而，该算法无法给出欺骗的持续时间，从而导致INS/GNSS系统无法依据该算法判断其解算的定位信息是否正确。该文结合测距机系统(DME)，提出一种基于重构新息序列的有限记忆卡方检测算法。该算法使用已有的INS,GNSS和DME数据构造一种不参与卡尔曼滤波的新息序列，然后将该新息序列构造成有限记忆卡方检验统计量，从而实现对欺骗式干扰的检测。仿真表明，当机载GNSS欺骗造成250 m及以上的位置偏差时，所设计的算法能够获得较为准确的欺骗持续时间。最后，该文依据所提算法的检测结果，给出了INS/GNSS/DME系统正确的定位信息。Abstract: Global Navigation Satellite System (GNSS) spoofing causes the target receiver to generate incorrect positioning results. Using Inertial Navigation System (INS)-aided, constructing chi-squared test statistics based on the Kalman filter innovation sequence is an effective means to detect airborne GNSS spoofing. However, the algorithm cannot give the spoofing duration, causing the INS/GNSS system could not to determine whether the calculated positioning information is correct based on the algorithm. In this paper, a limited-memory chi-squared detection based on the reconstructed innovation sequence is proposed by using the Distance Measuring Equipment (DME) system. The algorithm uses the existing INS, GNSS and DME data to construct an innovation sequence that does not participate in Kalman filter, and then constructs the innovation sequence into a limited memory chi-square test statistic to detect spoofing interference. When the airborne GNSS spoofing causes a position deviation of 250 m and above, the designed algorithm can obtain a more accurate spoofing duration in simulation part. Finally, this paper gives the correct positioning information of the INS/GNSS/DME system based on the detection result of the proposed algorithm.
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