Effect of Frequency Domain Anti-Jamming Filter on Satellite Navigation Signal Tracking Performance

Zhang, Tianqiao; Zhang, Xiaoming; Lu, Mingquan

doi:10.1007/978-3-642-37398-5_46

Cited by 10 publications

(7 citation statements)

References 2 publications

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“…Anti-jamming techniques [5,6] have been adopted to enhance the reliability and effectivity of Global Navigation Satellite System (GNSS). As a technique based upon Capon works and Neyman-Pearson theory, the amplitude domain processing (ADP) is an antijamming method to suppress multitone continuous wave, sweep continuous wave and narrowband interference without convergence problems, and therefore has been widely utilized to the GNSS receivers.…”

Section: Introductionmentioning

confidence: 99%

Windowing Design and Performance Assessment for Mitigation of Spectrum Leakage

Jwo

Wu²,

Chang

2019

E3S Web Conf.

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This paper investigates the windowing design and performance assessment for mitigation of spectral leakage. A pretreatment method to reduce the spectral leakage is developed. In addition to selecting appropriate window functions, the Welch method is introduced. Windowing is implemented by multiplying the input signal with a windowing function. The periodogram technique based on Welch method is capable of providing good resolution if data length samples are selected optimally. Windowing amplitude modulates the input signal so that the spectral leakage is evened out. Thus, windowing reduces the amplitude of the samples at the beginning and end of the window, altering leakage. The influence of various window functions on the Fourier transform spectrum of the signals was discussed, and the characteristics and functions of various window functions were explained. In addition, we compared the differences in the influence of different data lengths on spectral resolution and noise levels caused by the traditional power spectrum estimation and various window-function-based Welch power spectrum estimations.

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Section: Introductionmentioning

confidence: 99%

Windowing Design and Performance Assessment for Mitigation of Spectrum Leakage

Jwo

Wu²,

Chang

2019

E3S Web Conf.

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“…Equations (9) and (10) show that the frequency of the filtered CWI signal output by the correlator is f rem . The amplitude of this signal depends on the amplitude of the CWI at the intermediate-frequency input and the normal navigation signal spectral value at f Δ .…”

Section: Filtering Of the Cwi In The Correlatormentioning

confidence: 99%

“…Bek et al conducted mathematical analyses of pulse interference on the effective C/N 0 in GPS receivers [8]. Research on mitigation techniques for GNSS receivers has drawn increasing attention [9][10][11]. Omar derived measures of the code tracking error in receivers using time-domain blanking and frequency-domain adaptive filtering [9].…”

Section: Introductionmentioning

confidence: 99%

Increase of Carrier-to-Noise Ratio in GPS Receivers Caused by Continuous-Wave Interference

Wang¹,

Li²,

Li³

et al. 2016

RADIOENGINEERING

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“…In order to improve the receiver usability in interference environment, several anti-interference methods have been proposed, which can be classified into the following groups: adaptive time-domain processing [1], frequency-domain filtering [2], time-frequency domain filtering [3], spatial filtering [4], and spatial-time adaptive processing [5]. Among them, the frequency domain interference suppression (FDIS) algorithm is one of the most widely used interference suppression methods due to its simple implementation and effective interference suppression [2], [6], [7]. The basic principle is to design a notch filter in the frequency domain to achieve interference suppression.…”

Section: Introductionmentioning

confidence: 99%

“…The basic principle is to design a notch filter in the frequency domain to achieve interference suppression. If the RF front-end channel equivalent filter is an ideal filter, that is, the amplitude-frequency response is constant and the phase-frequency response is linear, the FDIS filter will not cause pseudo-range measurement bias [7]. However, those equivalent front-end receivers are not ideal in practice, as they suffer from variable amplitude-frequency response and nonlinear phase-frequency response [8].…”

Section: Introductionmentioning

confidence: 99%

Unbiased Interference Suppression Method Based on Spectrum Compensation

Tang

Liu

et al. 2020

IEICE Trans. Commun.

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The major weakness of global navigation satellite system receivers is their vulnerability to intentional and unintentional interference. Frequency domain interference suppression (FDIS) technology is one of the most useful countermeasures. The pseudo-range measurement is unbiased after FDIS filtering given an ideal analog channel. However, with the influence of the analog modules used in RF front-end, the amplitude response and phase response of the channel equivalent filter are non-ideal, which bias the pseudo-range measurement after FDIS filtering and the bias varies along with the frequency of the interference. This paper proposes an unbiased interference suppression method based on signal estimation and spectrum compensation. The core idea is to use the parameters calculated from the tracking loop to estimate and reconstruct the desired signal. The estimated signal is filtered by the equivalent filter of actual channel, then it is used for compensating the spectrum loss caused by the FDIS method in the frequency domain. Simulations show that the proposed algorithm can reduce the pseudo-range measurement bias significantly, even for channels with asymmetrical group delay and multiple interference sources at any location.

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Effect of Frequency Domain Anti-Jamming Filter on Satellite Navigation Signal Tracking Performance

Cited by 10 publications

References 2 publications

Windowing Design and Performance Assessment for Mitigation of Spectrum Leakage

Windowing Design and Performance Assessment for Mitigation of Spectrum Leakage

Increase of Carrier-to-Noise Ratio in GPS Receivers Caused by Continuous-Wave Interference

Unbiased Interference Suppression Method Based on Spectrum Compensation

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