Distortionless space‐time adaptive processor for global navigation satellite system receiver

Chen, Feiqiang; Nie, Junwei; Li, Baiyu; Wang, Feixue

doi:10.1049/el.2015.2832

Cited by 48 publications

(50 citation statements)

References 4 publications

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“…Therefore, the space-time adaptive antijamming method is developed to overcome the aforementioned problem, and several delay taps are placed behind each antenna element, namely, a temporal filtering is added on the basis of the spatial filtering. Thus, the space-time adaptive antijamming method can suppress more interference signals owing to the addition of temporal DOF [5][6][7][8][9][10]. A distortionless spacetime adaptive antijamming method is presented [5], which can not only obtain a higher DOF but also enhance the gain of GNSS signals.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the space-time adaptive antijamming method can suppress more interference signals owing to the addition of temporal DOF [5][6][7][8][9][10]. A distortionless spacetime adaptive antijamming method is presented [5], which can not only obtain a higher DOF but also enhance the gain of GNSS signals. A proportion differentiation algorithm is proposed for space-time adaptive antijamming [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Antijamming Based on Space-Time 2-D Sparse Array for GNSS Receivers

Du¹,

Liu²,

Tang³

et al. 2020

PIER M

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Space-time adaptive antijamming problem has received significant attention recently for global navigation satellite system (GNSS). It can jointly utilize spatial filters and temporal filters to suppress interference signals. However, most of the works on space-time antijamming problem presented in the literature require a space-time two-dimension (2-D) array with multiple antennas and delay taps. In this paper, an effective adaptive antijamming method based on a space-time 2-D sparse array is proposed. The maximum array gain is utilized to construct a space-time 2-D sparse array. The spacetime antijamming weight vector is given by minimizing the 2-D sparse array output power. Compared with the previous works, the presented method can have better antijamming performance than a spacetime 2-D uniform array. Simulation results verify the effectiveness and feasibility of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Antijamming Based on Space-Time 2-D Sparse Array for GNSS Receivers

Du¹,

Liu²,

Tang³

et al. 2020

PIER M

View full text Add to dashboard Cite

show abstract

“…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. The method also has better antijamming performance in a highly dynamic environment [12][13][14]. Although spoofing is highly concealable and creates confusion, many scholars have proposed spoofing detection and suppression algorithms.…”

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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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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“…Besides the superior advantages of space-time processing, these methods can introduce serious distortion and biases into the GNSS signal and pseudorange measurements [9]. To reduce this distortion, many methods have been proposed, but these methods increase the complexity of the algorithm and reduce the DoF of interference suppression [10,11].…”

Section: Introductionmentioning

confidence: 99%

Cascaded Multitype Interferences Suppression Method Using Sparse Representation and Array Processing for GNSS Receiver

Guo

2017

International Journal of Antennas and Propagation

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Interference suppression techniques have been intensively studied in nearly two decades due to their importance for maintaining the integrity and functionality of global navigation satellite system (GNSS). However, the interference suppression method applicable for the complex receiving environment in which there are multitype interfering signals has not been considered in most of the researches. To deal with this problem better, a cascaded multitype interferences suppression method using sparse representation and array processing is proposed. In the first stage, according to the sparsity of the narrowband and modulated wideband interference signals, a novel parallel multichannel signal interference suppression method based on matching pursuit (MP) algorithm and a design strategy for the overcomplete dictionary are proposed to mitigate the interferences with sparse features. Then, the minimum power distortionless response (MPDR) beamformer is employed in the second stage to suppress the residuary interferences (such as Gaussian noise interferences). Compared with existing algorithms, the proposed method can not only effectively suppress the interference arriving from the same direction with the desired signal and increase the Degree of Freedom (DoF) of the array antenna, but also introduce no distortion into the navigation signal. The effectiveness of the proposed method is illustrated by theoretical analysis and several simulation results.

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Distortionless space‐time adaptive processor for global navigation satellite system receiver

Cited by 48 publications

References 4 publications

Adaptive Antijamming Based on Space-Time 2-D Sparse Array for GNSS Receivers

Adaptive Antijamming Based on Space-Time 2-D Sparse Array for GNSS Receivers

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays

Cascaded Multitype Interferences Suppression Method Using Sparse Representation and Array Processing for GNSS Receiver

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