2020 8th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) 2020
DOI: 10.1109/cfis49607.2020.9238700
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GPS Continues Wave Jamming Canceller using an ANF Combined with an Artificial Neural Network

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Cited by 7 publications
(2 citation statements)
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“…where * ( ) ⋅ is the complex conjugate of the signal. There are several adaptation algorithms, including LMS (Borio et al, 2008;Wendel et al, 2016), FLL (Gamba & Falletti, 2018), Kalman filtering (Kang et al, 2018;Panchalard et al, 2006), and any of these aided with machine learning (Abbasi et al, 2020). However, this article focuses on FLL-based methods, as they are simple to use with the LBCA.…”
Section: Notch Filtermentioning
confidence: 99%
“…where * ( ) ⋅ is the complex conjugate of the signal. There are several adaptation algorithms, including LMS (Borio et al, 2008;Wendel et al, 2016), FLL (Gamba & Falletti, 2018), Kalman filtering (Kang et al, 2018;Panchalard et al, 2006), and any of these aided with machine learning (Abbasi et al, 2020). However, this article focuses on FLL-based methods, as they are simple to use with the LBCA.…”
Section: Notch Filtermentioning
confidence: 99%
“…[22] proposed a new method for rejecting the CWI in the Global Positioning System (GPS) based on cascading an adaptive FIR filter and Wavelet Packet Transform (WPT) based filter. [23] proposed IIR ANF to cancel the jamming effect on the received GPS signal. The authors [24] proposed an anti-jamming filter to reduce the CWI based on the second-order IIR Notch Filter.…”
Section: Introductionmentioning
confidence: 99%