journal article·2021-02-02Open access

Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering

Mohammad Hossein Same, Gabriel Gleeton, Gabriel Gandubert, Preslav Ivanov, Rene Jr Landry

Applied Sciences· Volume 11· Issue 3

Abstract

By increasing the demand for radio frequency (RF) and access of hackers and spoofers to low price hardware and software defined radios (SDR), radio frequency interference (RFI) became a more frequent and serious problem. In order to increase the security of satellite communication (Satcom) and guarantee the quality of service (QoS) of end users, it is crucial to detect the RFI in the desired bandwidth and protect the receiver with a proper mitigation mechanism. Digital narrowband signals are so sensitive into the interference and because of their special power spectrum shape, it is hard to detect and eliminate the RFI from their bandwidth. Thus, a proper detector requires a high precision and smooth estimation of input signal power spectral density (PSD). By utilizing the presented power spectrum by the simplified Welch method, this article proposes a solid and effective algorithm that can find all necessary interference parameters in the frequency domain while targeting practical implantation for the embedded system with minimum complexity. The proposed detector can detect several multi narrowband interferences and estimate their center frequency, bandwidth, power, start, and end of each interference individually. To remove multiple interferences, a chain of several infinite impulse response (IIR) notch filters with multiplexers is proposed. To minimize damage to the original signal, the bandwidth of each notch is adjusted in a way that maximizes the received signal to noise ratio (SNR) by the receiver. Multiple carrier wave interferences (MCWI) is utilized as a jamming attack to the Digital Video Broadcasting-Satellite-Second Generation (DVB-S2) receiver and performance of a new detector and mitigation system is investigated and validated in both simulation and practical tests. Based on the obtained results, the proposed detector can detect a weak power interference down to −25 dB and track a hopping frequency interference with center frequency variation speed up to 3 kHz. Bit error ratio (BER) performance shows 3 dB improvement by utilizing new adaptive mitigation scenario compared to non-adaptive one. Finally, the protected DVB-S2 can receive the data with SNR close to the normal situation while it is under the attack of the MCWI jammer.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Full-Duplex Wireless Communications · Radar Systems and Signal Processing · Antenna Design and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

LASSENA Laboratory, École de Technologies Supérieure (ÉTS), Montreal, QC H3C 1K3, Canada

References (41)

Show source-provided references
1. Ujan, S., Navidi, N., and Landry, J.R. (2020). Hierarchical Classification Method for Radio Frequency Interference Recognition and Characterization in Satcom. Appl. Sci., 10.10.20944/preprints202005.0356.v1 ↗
2. Nguyen, M.T., and Le, L.B. (2017, January 8–13). Adjacent channel interference cancellation for robust spectrum sharing in satellite communications systems. Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada.10.1109/PIMRC.2017.8292742 ↗
3. RF interference analysis in aperture synthesis interferometric radiometers: Application to L-band MIRAS instrument10.1109/36.841976 ↗
4. Weerasinghe, S., Alpcan, T., Erfani, S.M., Leckie, C., Pourbeik, P., and Riddle, J. (2019, January 16). Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. Proceedings of the Mining Data for Financial Applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany.
5. Getu, T.M., Ajib, W., Landry, R., and Kaddoum, G. (2019, January 11–14). Matrix- and Tensor-Based RFI Detectors for Multi-Antenna Wireless Communications. Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, ON, Canada.10.1109/GlobalSIP45357.2019.8969477 ↗
6. Jahanshahi, J.A., and Ghorashi, S.A. (2011). A support vector machine based algorithm for jamming attacks detection in cellular networks. 2011 Wireless Advanced, IEEE.10.1109/WiAd.2011.5983308 ↗
7. Jamming and anti-jamming techniques in wireless networks: A survey10.1504/IJAHUC.2014.066419 ↗
8. LEO satellites Based Doppler Positioning Using Distributed nonlinear Estimation10.1016/j.ifacol.2019.11.292 ↗
9. A symbol timing recovery algorithm of M-PSK signals for burst modem applications with small packet size10.1109/CC.2016.7513209 ↗
10. Same, M.H., Gandubert, G., Ivanov, P., Landry, J.R., and Gleeton, G. (2020). Effects of Interference and Mitigation Using Notch Filter for the DVB-S2 Standard. Telecom, 1.10.3390/telecom1030017 ↗
11. Performance Analysis of Energy-Based RFI Detector10.1109/TWC.2018.2861733 ↗
12. Overview of Spatial Processing Approaches for GNSS Structural Interference Detection and Mitigation10.1109/JPROC.2016.2529600 ↗
13. An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver10.1109/TAES.2020.2990148 ↗
14. Getu, T.M., Ajib, W., and Landry, R. (2019, January 8–11). INR Walls: Performance Limits in RFI Detection. Proceedings of the 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey.10.1109/PIMRC.2019.8904372 ↗
15. Digital Video Broadcasting (DVB) (2005). Second generation framing structure channel coding and modulation systems for broadcasting Interactive Services News Gathering and Other Broadband Satellite Applications. Final Draft ETSI EN 2005, Digital Video Broadcasting (DVB).
16. Same, M.H., Gandubert, G., Gleeton, G., Ivanov, P., and Landry, J.R. (2020). Simplified Welch Algorithm for Spectrum Monitoring. Appl. Sci., 11.10.3390/app11010086 ↗
17. Analytical Performance of GNSS Receivers using Interference Mitigation Techniques10.1109/TAES.2013.6494387 ↗
18. Ujan, S., Navidi, N., and Landry, R. (2020). An Efficient Radio Frequency Interference (RFI) Recognition and Characterization Using End-to-End Transfer Learning. Appl. Sci., 10.10.20944/preprints202007.0746.v1 ↗
19. Landry, R., Calmettes, V., Mouyon, P., Bousquet, M., Renard, A., Depetris, A., and Botero, B. (1998, January 14–16). Theory and performances of the PIRANHA filter. Proceedings of the Ninth IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Portland, OR, USA.
20. Robust Interference Cancellation of Chirp and CW Signals for Underwater Acoustics Applications10.1109/ACCESS.2017.2787684 ↗
21. HF Radio-Frequency Interference Mitigation10.1109/LGRS.2009.2039340 ↗
22. Ramesh, A. (2019). Jamming Detection Using Wavelet Transforms. [Master’s Thesis, Tampere University].
23. Chien, Y.-R., Chen, P.-Y., and Fang, S.-H. (2017). Novel Anti-Jamming Algorithm for GNSS Receivers Using Wavelet-Packet-Transform-Based Adaptive Predictors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 602–610.10.1587/transfun.E100.A.602 ↗
24. Implementing FFTs in practice
25. Jamming mitigation in global positioning system receivers using wavelet packet coefficients thresholding10.1049/iet-spr.2014.0280 ↗
26. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms10.1109/TAU.1967.1161901 ↗
27. Kang, H., and No, J.-S. (2018, January 3–6). Narrow-Band Interference Removing Filter for Mobile Communication Systems. Proceedings of the 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), Prague, Czech Republic.10.1109/ICUFN.2018.8436631 ↗
28. An efficient narrowband interference suppression approach in ultra-wideband receiver10.1109/JSEN.2017.2676012 ↗
29. Comparison of null-subcarriers reservation and adaptive notch filter for narrowband interference cancellation in intra-data center interconnect with DMT signal transmission10.1364/OE.27.005696 ↗
30. 100 Gbit/s PAM4 signal transmission and reception for 2-km interconnect with adaptive notch filter for narrowband interference10.1364/OE.26.024066 ↗
31. Data Communication Concepts10.1016/B978-012170960-0/50073-6 ↗
32. PSD computations using Welch’s method
33. Two-Pole and Multi-Pole Notch Filters: A Computationally Effective Solution for GNSS Interference Detection and Mitigation10.1109/JSYST.2007.914780 ↗
34. Yuan, T., Deng, W., Tang, J., Tang, Y., and Chen, B. (2019, January 16–20). Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA.10.1109/CVPR.2019.00495 ↗
35. (2021, January 21). Transmitting DVB-S2 with GNU Radio and an USRP B210. Available online: https://kb.ettus.com/Transmitting_DVB-S2_with_GNU_Radio_and_an_USRP_B210.
36. Tektronix (2020, September 04). RSA600 Series Real Time Spectrum Analyzers. Available online: https://www.tek.com/spectrum-analyzer/rsa600-series.
37. Nguyen, A.-Q., Amrhar, A., Zambrano, J., Brown, G., René, J.L., and Yeste, O. (2018, January 25–29). Application of PSK Modulation for Secure ADS-B Avionics. Proceedings of the 2018 Aviation Technology, Integration, and Operations Conference, Atlanta, GA, USA.10.2514/6.2018-3261 ↗
38. Areibi, S. (2021, January 21). Tutorial-Using Xilinx System Generator 14.6 for Co-Simulation on Digilent NEXYS3 (Spartan-6) Board. Available online: http://islab.soe.uoguelph.ca/sareibi/TEACHING_dr/XILINX_TUTORIALS_dr/SysGen_dr/SG_Tutorial_1.pdf.
39. How to Maximize the Potential of FPGA Resources for Modular Exponentiation
40. Arif, S.W., Coskun, A., and Kale, I. (2019, January 15–18). A Fully Adaptive Lattice-based Notch Filter for Mitigation of Interference in GPS. Proceedings of the 2019 15th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), Lausanne, Switzerland.10.1109/PRIME.2019.8787822 ↗
41. Yang, B., Wang, N., and Liu, L. (2012, January 21–23). Complex division and square-root using CORDIC. Proceedings of the 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, China.10.1109/CECNet.2012.6201840 ↗