Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference
Abstract
:1. Introduction
2. Mathematics Model
2.1. Narrowband Interference Suppression
2.2. Spoofing Jamming Detection
- (1)
- Multiply the received signal with the locally generated in-phase and quadrature signals to obtain the baseband complex signal and perform the FFT on the complex signal to obtain ,.
- (2)
- Perform a fast Fourier transform on the local pseudocode to obtain , then take the conjugate value of to obtain , where is the step of the search frequency and is the number of channels.
- (3)
- Multiply and the point-to-point to to obtain the output result .
- (4)
- Perform an IFFT to obtain with a time-domain value, then take the modulo to obtain ; at this time, there are a total of values of .
- (5)
- Perform a two-dimensional search on the value of and compare it with a predetermined threshold. If there are two or more peaks higher than the threshold, it is considered that there is forwarding spoofing interference, and an alarm is issued to the receiver; if there is only one peak higher than the threshold, it is considered to be a real signal, and the tracking link is entered normally.
3. Analysis of the Influence of Interference
3.1. Analysis of the Influence of Narrowband Interference Suppression
3.2. Analysis of the Influence of Spoofing Interference
3.3. Analysis of the Influence of Mixed Interference
4. Detection Method Based on Correlation Peak Symmetry
5. Experimental Verification of the Software Receiver
5.1. Experimental Platform
5.2. Simulation Experiment
6. Discussion
7. Conclusions
- (1)
- The suppression of narrow-band interference will cause the rise of the sidelobes of the correlation peak. If the detection method of spoofing interference based on the number of correlation peaks is adopted, this will cause false alarms in the detection of spoofing interference.
- (2)
- When the delay between spoofing interference and the real signal is less than 1 chip, the displayed correlation function is still a correlation peak, and the spoofing interference detection method based on the number of correlation peaks will be invalid.
- (3)
- When narrowband interference and spoofing interference coexist, the number of correlation peaks will be complicated, and the detection of spoofing interference cannot be achieved solely by the number of correlation peaks.
- (4)
- Narrowband interference will not destroy the symmetry of the correlation peak, whereas spoofing interference will destroy the symmetry of the correlation peak. Using the symmetry of detecting deception interference can effectively realize the detection of deception interference.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Huang, L.; Lu, Z.; Ren, C.; Liu, Z.; Xiao, Z.; Song, J.; Li, B. Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference. Remote Sens. 2022, 14, 2506. https://doi.org/10.3390/rs14102506
Huang L, Lu Z, Ren C, Liu Z, Xiao Z, Song J, Li B. Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference. Remote Sensing. 2022; 14(10):2506. https://doi.org/10.3390/rs14102506
Chicago/Turabian StyleHuang, Long, Zukun Lu, Chao Ren, Zhe Liu, Zhibin Xiao, Jie Song, and Baiyu Li. 2022. "Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference" Remote Sensing 14, no. 10: 2506. https://doi.org/10.3390/rs14102506
APA StyleHuang, L., Lu, Z., Ren, C., Liu, Z., Xiao, Z., Song, J., & Li, B. (2022). Research on Detection Technology of Spoofing under the Mixed Narrowband and Spoofing Interference. Remote Sensing, 14(10), 2506. https://doi.org/10.3390/rs14102506