Comparison of Interference Mitigation with Adaptive Notch Filter Architectures Against Privacy Protection Devices

J. Rossouw van der Merwe, Iñigo Cortés, Muhammad Saad, Fabio Garzia, Alexander Rügamer, Matthias Overbeck, Wolfgang Felber

Abstract:	Abstract—Interference signals from privacy protection devices (PPDs) degrade global navigation satellite system (GNSS) performance and must be mitigated. This article presents practical results with the multi-parameter adaptive notch filter (MPANF) against a commercial-off-the-shelf (COTS) PPD. Additionally, the wavelet-based multi-parameter adaptive notch filter (WMPANF) is proposed as a method to combine the tracking superiority of the MPANF with the decimation and parallel processing capabilities of the wavelet-based adaptive notch filter (WANF) for better adaption to wide-band GNSS receivers. The results show that a WMPANF with four bands outperforms a standard adaptive notch filter (ANF). Additionally, the MPANF has less than 3 dB performance reduction compared to a standard ANF but has comparable position accuracy. The article presents the first practical results of the MPANF and proposes the new WMPANF architecture. Even though they are still new and future optimization is possible, both approaches yield promising results. Index Terms—Global navigation satellite system (GNSS), adaptive notch filter (ANF), multi-parameter adaptive notch filter (MPANF), wavelet-based adaptive notch filter (WANF), waveletbased multi-parameter adaptive notch filter (WMPANF), interference, privacy protection device (PPD), mitigation, GNSSReceiver with Open Software Interface (GOOSE)
Published in:	2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) April 24 - 27, 2023 Hyatt Regency Hotel Monterey, CA
Pages:	481 - 491
Cite this article:	Merwe, J. Rossouw van der, Cortés, Iñigo, Saad, Muhammad, Garzia, Fabio, Rügamer, Alexander, Overbeck, Matthias, Felber, Wolfgang, "Comparison of Interference Mitigation with Adaptive Notch Filter Architectures Against Privacy Protection Devices," 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, April 2023, pp. 481-491. https://doi.org/10.1109/PLANS53410.2023.10140017
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