Next Article in Journal
Improving the Accuracy of Analytical Relationships for Mechanical Properties of Permeable Metamaterials
Previous Article in Journal
Volatile Organic Compounds in Breads Prepared with Different Sourdoughs
Article

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

LASSENA Laboratory, École de Technologies Supérieure (ÉTS), Montreal, QC H3C 1K3, Canada
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(3), 1331; https://doi.org/10.3390/app11031331
Received: 11 January 2021 / Revised: 27 January 2021 / Accepted: 29 January 2021 / Published: 2 February 2021
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
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. View Full-Text
Keywords: multiple carrier wave interference; simplified Welch algorithm; threshold; power spectral density; digital receiver; narrowband communication; digital receiver; notch filter; jamming to signal ratio; Satcom; notch filter; interference mitigation; detector; DVB-S2 multiple carrier wave interference; simplified Welch algorithm; threshold; power spectral density; digital receiver; narrowband communication; digital receiver; notch filter; jamming to signal ratio; Satcom; notch filter; interference mitigation; detector; DVB-S2
Show Figures

Figure 1

MDPI and ACS Style

Same, M.H.; Gleeton, G.; Gandubert, G.; Ivanov, P.; Landry, R.J. Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering. Appl. Sci. 2021, 11, 1331. https://doi.org/10.3390/app11031331

AMA Style

Same MH, Gleeton G, Gandubert G, Ivanov P, Landry RJ. Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering. Applied Sciences. 2021; 11(3):1331. https://doi.org/10.3390/app11031331

Chicago/Turabian Style

Same, Mohammad H., Gabriel Gleeton, Gabriel Gandubert, Preslav Ivanov, and Rene J. Landry 2021. "Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering" Applied Sciences 11, no. 3: 1331. https://doi.org/10.3390/app11031331

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop