BOC Signal Spoofing Detection Based on Multi-correlator Signal Quality Monitoring Method

Due to the open structure and the low receiving power of the global navigation satellite system (GNSS) signal, the receiver is vulnerable to some malicious spoofing interference. The signal quality monitoring (SQM) algorithm is favored because it can simply and effectively detect the correlation peak distortion in the spoofing interference. In this paper, we focus on the SQM metrics for BOC (1,1) component of the B1C signal, firstly introduce some existing SQM metrics of BOC (1,1) signal, then the statistical characteristics and detection threshold of the metrics are analyzed. On this basis, the metrics are merit-based selected by the receiver operating characteristic (ROC) curve and the curve of detection rate in the simulation experiment, and the metrics are verified by the mathematical modeling on the basis of the experimental spoofing scenario, which proves that the metrics participating in the combination are complementary. Finally, the metrics are combined under the condition of a low correlation. The experimental results show that compared with the existing metrics, the metrics obtained by the merit-based selection and combination have better performance in spoofing detection.