Interference suppression with flat gain constraint for satellite navigation systems

Wang, Wenyi; Du, Qingrong; Wu, Renbiao; Liang, Junli

doi:10.1049/iet-rsn.2014.0258

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…In this section, several simulations are constructed to evaluate the performance of the proposed method. Meanwhile, the proposed algorithm is compared with MVDR algorithm [19], PI algorothm [21], CS-SF algorithm [20], and OMP-ISRP algorithm [22]. Assume that the ULA is composed of 8 antennas with equally spaced d = 0.098m.…”

Section: Simulation Resultsmentioning

confidence: 99%

Ae-Stap Algorithm for Space-Time Anti-Jamming

Du¹,

Liu²,

Chen³

et al. 2021

PIER M

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Space-time adaptive processing (STAP) algorithms can provide effective interference suppression potential in global navigation satellite system (GNSS). However, the performance of these algorithms is limited by the training samples support in practical applications. This paper presents an effective STAP based on atoms extension (named as AE-STAP) algorithm to provide better antijamming performance even if within a very small number of snapshots. In the proposed algorithm, a spatial-temporal plane is constructed firstly by the sparsity of received signals in the spatial domain. In the plane, each grid point corresponds to a space-time steering vector, named as an atom. Then, the optimal atoms are selected by searching atoms that best match with the received signals in the spatial-temporal plane. These space-time steering vectors corresponding to the optimal atoms are used to construct the interference subspace iteratively. Finally, in order to improve the estimation accuracy of interference subspace, an atoms extension (AE) method is given by extending the optimal atoms in a diagonal manner. The STAP weight vector is obtained by projecting the snapshots on the subspace orthogonal to the interference subspace. Simulation results demonstrate that the proposed method can provide better interference suppression performance and higher output signal-to-interference-plus-noise ratios (SINRs) than the previous works.

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Section: Simulation Resultsmentioning

confidence: 99%

Ae-Stap Algorithm for Space-Time Anti-Jamming

Du¹,

Liu²,

Chen³

et al. 2021

PIER M

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“…Consider a uniform linear antenna array of omnidirectional array elements employed in GNSS receiver, one satellite signal, and uncorrelated interference which impinge on the array at the th snapshot as expressed by [21] x…”

Section: Satellite Navigation Signal Reception Modelmentioning

confidence: 99%

“…Using the formulation from (20) and (21), the resulting update equation of weight deviation vector can be computed as…”

mentioning

confidence: 99%

Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition

Zhang

Zeng

2019

International Journal of Antennas and Propagation

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This paper presents the new constraint correntropy beamforming method to improve the performance of global navigation satellite system (GNSS) receivers. Although beamforming-based GNSS system possesses the ability of nulling interference sources, the distortions to satellite signal induced by impulsive noises are always neglected. This paper addresses the satellite navigation signal acquisition problem against impulsive noises using the constraint maximum correntropy criterion in framework of the GNSS system. In addition, in order to decrease the number of active elements for avoiding overmuch energy consumption, we introduce the L1-norm penalty equation to the list of constraints of the adaptive filter that forces the coefficients with small magnitudes to zero. From the above, we propose the norm-constraint beamforming method to satisfy the conflicting requirements between the coefficients sparsity and the performance of the satellite signal acquisition. The proposed CSMC maintains the robustness against impulsive outliers and achieve better performance in conjunction with less power consumption. An analysis of the mean square convergence properties of the proposed algorithms is presented, and the stability condition of the convergence is derived. Our simulation results demonstrate the superiority of the proposed methods.

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“…If the gains of the non-jamming direction remain unchanged, the above problems of Adaptive Nulling would be avoided. Wenyi Wang put forward a proposal that the gains in all directions should be close to 0 dB [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

A anti-jamming method for satellite navigation system based on multi-objective optimization technique

Lang

Xiao

et al. 2017

PLoS ONE

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In this paper, an anti-jamming method, which turns the single objective optimization problem into a multi-objective optimization problem by utilizing 2-norm, is proposed. The proposed jamming suppression method can reduce the wide nulls and wrong nulls problems, which are generated by the common adaptive nulling methods. Therefore a better signal-noise-ratio (SNR) can be achieved, especially when the jammers are close to satellite signals. It can also improve the robustness of the algorithm. The effectiveness of the proposed method is evaluated by simulation and practical outdoor experiments with the GPS L1 band C/A signals. The experimental results show that with the dedicated method, the nulls targeting at the corresponding jammers become narrower and the wrong nulls can be eliminated.

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Interference suppression with flat gain constraint for satellite navigation systems

Cited by 9 publications

References 12 publications

Ae-Stap Algorithm for Space-Time Anti-Jamming

Ae-Stap Algorithm for Space-Time Anti-Jamming

Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition

A anti-jamming method for satellite navigation system based on multi-objective optimization technique

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