Narrowband interference suppression for GPS navigation using neural networks

Mosavi, Mohammad Reza; Shafiee, Fahimeh

doi:10.1007/s10291-015-0442-8

Cited by 52 publications

(38 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Eigenvalue analysis tells that the array response of adaptive beamformer can be expressed as the difference of no jamming response and jamming beam response [26]…”

Section: Covariance Matrix Reconstructionmentioning

confidence: 99%

A Robust Method to Suppress Jamming for GNSS Array Antenna Based on Reconstruction of Sample Covariance Matrix

Gong

Wang

Yao

et al. 2017

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

The Global Navigation Satellite System (GNSS) receiver is vulnerable to active jamming, which results in imprecise positioning. Therefore, antijamming performance of the receiver is always the key to studies of satellite navigation system. In antijamming application of satellite navigation system, if active jamming is received from array antenna main-lobe, main-lobe distortion happens when the adaptive filtering algorithm forms main-lobe nulling. A robust method to suppress jamming for satellite navigation by reconstructing sample covariance matrix without main-lobe nulling is proposed in this paper. No nulling is formed while suppressing the main-lobe jamming, which avoids main-lobe direction distortion. Meanwhile, along with adaptive pattern control (APC), the adaptive pattern of array antenna approaches the pattern without jamming so as to receive the matching navigation signal. Theoretical analysis and numerical simulation prove that this method suppresses jamming without main-beam distortion. Furthermore, the output SINR will not decrease with the main-lobe distortion by this method, which improves the antijamming performance.

show abstract

“…Eigenvalue analysis tells that the array response of adaptive beamformer can be expressed as the difference of no jamming response and jamming beam response [26]…”

Section: Covariance Matrix Reconstructionmentioning

confidence: 99%

A Robust Method to Suppress Jamming for GNSS Array Antenna Based on Reconstruction of Sample Covariance Matrix

Gong

Wang

Yao

et al. 2017

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…ASACM filter computational complexity increases exponentially in the cases of multi-tone CWI rejection. Also this filter must be combined with a discrete wavelet transform (DWT) filter to overcome jamming attacks with jammer to signal power ratio (JSR) more than 35 dB [19][20][21][22][23][24]. In the notch filters, a zero is placed on a unit circle with a phase equal to the jammer instantaneous frequency (IF) to perfectly remove the jamming [15].…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive filtering based methods like adaptive notch filters [15][16][17][18], Kalman filter [19], neural network based predictors [19,20], approximate conditional mean (ACM) filter [21,22] and augmented state ACM (ASACM) filter [23,24] are formed based on jamming estimation in frequency domain or time domain. These techniques can be implemented easily in GPS digital signal processors (DSPs) and therefore, they are applicable.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Continuous Wave Interference Mitigation in Single-Frequency GPS Receivers

Mosavi

Moghaddasi

Rezaei

2016

Wireless Pers Commun

Self Cite

View full text Add to dashboard Cite

This paper proposes a new method for jamming suppression in the global positioning system (GPS) receivers. The proposed mitigation technique is based on cascading the adaptive finite impulse response (FIR) filter and the approximate conditional mean (ACM) filter. Adaptive FIR filter puts a notch at the interference frequency, but it causes self-noise in presence of high power jammers. ACM filter is an effective filter for estimating the jamming with known autoregressive process model parameters. However, its performance is degraded in the cases of high power interferences. Cascading these two filters has two advantages: first, collaboration of these two filters can help removing high power jammers. Second, the depth of notch can be limited by a threshold in presence of high power jammers to prevent self-noise effect. In such a case, the ACM filter can help to remove the remaining jamming effects on GPS signal. The performance of proposed method is analyzed in presence of single and multiple continuous wave interferences. Experimental results show the benefits of proposed method on terms of signal to noise power ratio improvement and mean square error compared to previous methods.

show abstract

“…With the development of antijamming technology, a new generation of satellite navigation receivers has adopted a series of interference suppression measures, including the use of the Wavelet packet transform (WPT) [5], neural network cancellation [6], and the adaptive notch filter [7,8] to suppress narrowband interferences, but these methods are not suitable for wideband interference suppression. Many antijamming receivers make use of the antenna array power inversion (PI) [9,10] algorithm to nullify the wideband interference or the adaptive beamforming algorithm to improve the output signal-to-noise ratio (SNR) of the array by nullifying the interference directions while forming the useful GNSS signal directional beam [11].…”

Section: Introductionmentioning

confidence: 99%

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Yang

Zhang

Tang

et al. 2019

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

The Global Positioning System (GPS), with its accurate positioning and timing information, has become a commonly used navigation instrument for many applications. However, it is susceptible to intentional interference such as jamming and spoofing. The conventional antijamming GPS receiver fails to work in a combined jamming and spoofing attack scenario. To solve the problem, a combined antijamming and antispoofing algorithm for a GPS receiver based on an antenna array is proposed. In this method, the jamming is eliminated by subspace projection, and then a compressed sensing framework is adopted to obtain the direction of arrival (DOA) of the despreading satellite navigation signal and detect the spoofing signal. According to the DOA of the authentic and spoofing signals, the receiver uses adaptive multibeamforming to concurrently achieve the undistorted reception of the authentic satellite signal and the suppression of the spoofing. We analyse three aspects of algorithmic performance: the antenna array direction diagram, the spoofing detection and the acquisition results. The simulation results and their analysis preliminarily show that the proposed method can detect and suppress GPS jamming and spoofing effectively.

show abstract

Narrowband interference suppression for GPS navigation using neural networks

Cited by 52 publications

References 17 publications

A Robust Method to Suppress Jamming for GNSS Array Antenna Based on Reconstruction of Sample Covariance Matrix

A Robust Method to Suppress Jamming for GNSS Array Antenna Based on Reconstruction of Sample Covariance Matrix

A New Method for Continuous Wave Interference Mitigation in Single-Frequency GPS Receivers

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Contact Info

Product

Resources

About