2015
DOI: 10.1049/iet-spr.2014.0280
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Jamming mitigation in global positioning system receivers using wavelet packet coefficients thresholding

Abstract: In this paper, the authors describe a new pre-correlation mitigation technique for global positioning system (GPS) receivers. Proposed mitigation technique is based on wavelet packet coefficients thresholding. This technique employs adaptive thresholding to mitigate GPS jammers. The authors compare proposed technique against discrete wavelet coefficient thresholding method. In this paper, the interferers are generated by an RF signal generator. The received GPS signal and interference are combined in a combine… Show more

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Cited by 36 publications
(39 citation statements)
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“…X(k), w(k), v(k), A and matrix H are depicted in Eqs. (13), (14), (15), (16) and (17), respectively [25,26]. ð16Þ…”
Section: Acm Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…X(k), w(k), v(k), A and matrix H are depicted in Eqs. (13), (14), (15), (16) and (17), respectively [25,26]. ð16Þ…”
Section: Acm Filtermentioning
confidence: 99%
“…The WT overcomes STFT and filter bank drawback by controlling the tradeoff between frequency and time. However, it needs to be tuned optimally for each kind of jamming [14].…”
Section: Introductionmentioning
confidence: 99%
“…For a denoising purpose, an appropriate threshold should be selected. Among various options, the common threshold is as follows [16]- [17] γ = δ 2 ln (N ln (N )) / ln (2),…”
Section: B Correlation-based Receiver With Wpdmentioning
confidence: 99%
“…However, in this case, direction of arrivals of jamming signals must be estimated first, which leads to high cost and computational complexity. The other simple and promising alternatives are to use independent component analysis (ICA) [14]- [15] and wavelet packet decomposition (WPD) methods [16]- [17]. The advantage of the ICA method lies in the fact that it does not require prior information of jamming signals, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The interference suppression techniques for GNSS receivers include time-domain processing, transform-domain processing, spatial processing, and spatial-time processing [1,2]. The methods based on time-domain and transform-domain processing have been widely studied (e.g., [3,4]). Although they are effective for suppressing narrowband interference signals, their performance degrades when they deal with wideband interferers such as Gaussian interferers or when the interfering signal changes rapidly in time-domain and frequency domain (e.g., swept continuous wave interference).…”
Section: Introductionmentioning
confidence: 99%