An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver

Qin, Wenjian; Gamba, Micaela Troglia; Falletti, Emanuela; Dovis, Fabio

doi:10.1109/taes.2020.2990148

Cited by 32 publications

(10 citation statements)

References 22 publications

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“…IIR notch filters are widely used with mitigation systems to protect different communication protocols like wireless local area network (WLAN) standard (IEEE 802.11a/g/n/ac) [27,28], GNSS [13], and discrete multi-tone (DMT) system [29,30]. There is a tradeoff between the remaining interference power and removed data from the spectrum of the desired signal.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Fortunately, some systems already exist to mitigate the negative effects of those RFIs. Especially for the GNSS signals, different methods are designed to detect and suppress interferences [12,13]. Since the GNSS signals are wideband signals, it is easier to detect and suppress interference because the noise and power level are lower than narrowband interference.…”

Section: Introductionmentioning

confidence: 99%

“…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 IIR notch filters [13] with multiplexers is proposed. The detector can employ notch filters as much as required, which is equal to the number of observed interferences.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2021

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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.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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“…In GNSS signals [7], interference can be easily detected and mitigated because of the large distance between transmitter and receiver.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Performances between Adaptive Notch Filter Direct and Lattice Forms Structures for Mitigation Jamming Signals

Gebali,

Landry

2022

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A jamming signal such as single and multiple Continuous-Wave (CW and MCW) interferences have been shown to have severe effects on the quality of the received signal in wireless communication. This paper presents an approach of a low-complexity algorithm that compares the performances of using Adaptive Notch Filter (ANF) direct and lattice forms structures based on second-order Infinite Impulse Response (IIR) Notch Filter (NF) for the detection and mitigation of CW and MCW interferences in QPSK communication systems. The approach method consists of two ANFs, adaptive IIR NF

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“…Pre correlation interference detection algorithms can be mainly divided into time domain [9], frequency domain [10], statistical domain [11], and the combination of several domains [12], [13]. Adaptive notch filter technologies [14] are the most commonly used detection method in the time domain. Yet it cannot easily distinguish broadband interference from thermal noise.…”

Section: Introductionmentioning

confidence: 99%

A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

et al. 2020

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In this paper, an interference detection algorithm based on fuzzy logic fusion is proposed for the interference monitoring system (IMS) of the global satellite navigation system (GNSS). In particular, for the problem of reduced detection performance caused by noise fluctuations in a complex electromagnetic environment, the proposed algorithm introduces the idea of fuzzy logic. According to the credibility of local detection results in different regions determined by noise uncertainty, we adopt a two-step cooperative detection mechanism in the fusion center (FC). When a definite detection result is obtained in the first step, the decision is finished. Otherwise, we will execute the decision algorithm based on the fuzzy logic fusion of the second step. The experimental results show that the proposed algorithm has the best detection performance, compared with the traditional energy detection algorithm and the energy detection algorithm based on soft data. Furthermore, compared with soft data, the system overhead of the proposed algorithm is also reduced without increasing the amount of calculation.

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An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver

Cited by 32 publications

References 22 publications

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

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

Comparing the Performances between Adaptive Notch Filter Direct and Lattice Forms Structures for Mitigation Jamming Signals

A Double Threshold Cooperative GNSS Interference Detection Algorithm Based on Fuzzy Logic

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