Optimum reference element selection for GNSS power‐inversion adaptive arrays

Youda, Wan; Chen, Feiqiang; Nie, Junwei; Sun, Guangfu

doi:10.1049/el.2016.2360

Cited by 14 publications

(11 citation statements)

References 4 publications

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“…Since formula (10) is a convex optimization problem, it can be solved directly by the CVX toolbox [32]. The solutions of formula (10) are the DOAs of the target signal sources.…”

Section: Spoofing Detection and Suppressionmentioning

confidence: 99%

“…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]. However, the degrees of freedom of antennas are limited by the number of antenna elements, and the space-time adaptive processing (STAP) method increases the degrees of freedom without increasing the array elements.…”

Section: Introductionmentioning

confidence: 99%

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A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Yang

Zhang

Tang

et al. 2019

International Journal of Antennas and Propagation

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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.

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“…Since formula (10) is a convex optimization problem, it can be solved directly by the CVX toolbox [32]. The solutions of formula (10) are the DOAs of the target signal sources.…”

Section: Spoofing Detection and Suppressionmentioning

confidence: 99%

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

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“…A power inversion array is an antenna array based on the power inversion (PI) algorithm [1]- [3] to minimize the array output power. With this approach, one antenna element is selected as the reference and the remainder act as auxiliary elements to offset the interference in the reference signal [2]. Typically, the interference is stronger than the satellite signal, but after array processing it is weaker, which is the reason it is called power inversion.…”

Section: Introductionmentioning

confidence: 99%

A Novel Power Inversion Antenna Array for the Beidou Navigation Satellite System

Jin

Hao

et al. 2019

IEEE Access

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Power inversion (PI) arrays have been employed to suppress interference in satellite navigation systems. When the incident direction of a satellite signal is near that of the interference, there will be a significant degradation in the signal to noise ratio (SNR). To reduce this degradation, a PI antenna array composed of a right-hand circular polarized (RHCP) antenna and a spatially-spread electromagnetic vector sensor (SS-EMVS) subarray is proposed, which can suppress interference and acquire satellite signals in both the polarized and spatial domains. Even when the satellite signal is incident from the same direction as the interference, the SNR degradation can be reduced by exploiting the difference in polarization states. It is shown that the filtering is improved in the polarization domain compared with an RHCP PI array, and the SNR loss is lower than with an SS-EMVS PI array while the computational complexity is not increased. Furthermore, the proposed PI array is effective for all Beidou satellite system public service signals.

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“…Unfortunately, the MVDR beamformer may have unacceptably high sidelobes, which may lead to significant performance degradation in the case of unexpected interfering signals [2]. A large number of robust beamforming methods based on MVDR have been presented later [2][3][4][5][6][7][8][9]. For example, covariance matrix tapers and derivative constraints are used in [2].…”

Section: Introductionmentioning

confidence: 99%

“…A new method based on amplitude-only perturbations is given in [5]. A multi-parametric quadratic programming method is presented in [6], and a blind adaptive beamforming method called power inversion is proposed in [7] for low signal-noise-ratio (SNR) scenario. Additionally, the genetic algorithm (GA) is considered in [8] and [9].…”

Section: Introductionmentioning

confidence: 99%

A Virtual Space-Time Adaptive Beamforming Method for Space-Time Antijamming

Liu¹,

Du²,

Bai³

2017

PIER M

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Abstract-Space-time antijamming problem has received significant attention recently in the passive radar systems, such as Global Navigation Satellite Systems (GNSS). The space-time beamformer contains two adaptive filters, i.e., spatial filter and temporal filter for canceling interference signals. However, most of the works on space-time antijamming problem presented in the literature require multiple antennas and delay taps. In this paper, a virtual space-time adaptive beamforming method is proposed. The temporal smoothing technique is utilized to add a structure of the received data model for the implementation of the proposed method without delay taps. Compared with the previous works, the presented method offers a number of advantages over other recently proposed algorithms. For example, the space-time weight vector can be obtained by simple algebraic operations with lower computational complexity, since the matrix inversion is avoided. Furthermore, the system overhead can be reduced obviously since the temporal smoothing technology is used instead of multiple delay taps. Simulation results are presented to verify the effectiveness of the proposed method.

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Optimum reference element selection for GNSS power‐inversion adaptive arrays

Cited by 14 publications

References 4 publications

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

A Novel Power Inversion Antenna Array for the Beidou Navigation Satellite System

A Virtual Space-Time Adaptive Beamforming Method for Space-Time Antijamming

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