A new blind anti‐jamming algorithm based on a novel antenna array design

Yang, Xin; Wang, Feixue; Liu, Wenxiang; Chen, Feiqiang

doi:10.1049/rsn2.12284

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…Moreover, with the development of multi‐antenna technology, spatial beamforming has been widely studied. It aligns the beam null to the jamming signal to achieve jamming suppression [10]. The authors in [11] proposed a robust spatial beamforming algorithm based on covariance matrix reconstruction, and reference [12] further combined with compressed sensing theory to reduce the complexity of the reconstruction‐based algorithm.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable intelligent surface enhanced MISO‐OFDM anti‐jamming communications: Joint active and passive precoding design

et al. 2023

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The reconfigurable intelligent surface (RIS) fundamentally changes the existing antijamming paradigm by reconstructing the wireless propagation environment. However, the existing RIS-based anti-jamming work mainly considers narrow-band frequency-flat fading channels. As an extension of existing work, the use of RIS to enhance the antijamming capability of broadband orthogonal frequency division multiplexing (OFDM) system in frequency-selective fading channels is first studied. In the multipath frequencyselective fading channels, the anti-jamming design needs to satisfy the channel gains of all signal paths with different delays. To this end, the authors propose a joint design scheme of active precoding at the transmitter and passive precoding at the RIS to attenuate the jamming signal and enhance the legitimate signal, and formulate the joint design objective to maximize the average rate of all subcarriers. An alternating optimization algorithm is developed to address this non-convex problem due to the complex coupling of active and passive precoding. In detail, the active and passive precoding are solved by the Cauchy-Schwarz inequality and power water-filling method and the alternating direction method of multipliers method assisted by multidimensional complex quadratic transform, respectively. Simulation results demonstrate that the proposed method can significantly improve the anti-jamming communication performance of the OFDM system compared with the scheme without RIS. In addition, the impact of the number of RIS elements and deployment location on system performance is revealed.

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Section: Introductionmentioning

confidence: 99%

Reconfigurable intelligent surface enhanced MISO‐OFDM anti‐jamming communications: Joint active and passive precoding design

et al. 2023

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“…Yang et al propose a new blind unbiased algorithm to reduce measurement errors. The linear phase TDLs in such method are ensured by a specially designed symmetric antenna array, which limited its application scenario [21]. When the antenna array is not intentionally designed, the SVs are approximated at every integration time before the tracking process in many methods [22][23][24][25], in order to steer the main lobe towards the direction of each signal of interest.…”

Section: Introductionmentioning

confidence: 99%

Robust blind space‐time adaptive processing for measurement error mitigation in GNSS receivers

Zhuang

Hou

et al. 2023

IET Communications

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The measurement errors induced by the space-time adaptive processing (STAP) is gaining attention for its significant detriment to the precision of the global navigation satellite system (GNSS) receiver positioning. To mitigate measurement errors, the steering vector (SV) estimation method based on spreading is widely employed in measurement error mitigation algorithms. However, the hazard of the SV estimation fluctuation problem is ignored in these algorithms. In this paper, the specific harm of such SV estimation fluctuation problem is analysed. To alleviate such problem and to eliminate the measurement errors as much as possible, a robust STAP beamformer for GNSS receivers is proposed. First, to acquire a series of robust SVs in different integration times, a desired signal covariance (DSC) matrix is iteratively reconstructed to remove the disturbance from thermal noise and the residual jamming signals. Second, to eliminate measurement errors, a replacement matrix is formed to help guarantee the phase linearities of the tapped delay lines (TDLs). Numerical examples demonstrate that the method can achieve a set of stable SV estimations and linear phase TDLs, leading to a carrier-to-noise-power ratio (C ∕N 0 ) of more than 50 dBHz and a code phase bias of less than 3.4 m, which outperform the methods used for comparison.

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“…Moreover, the biases vary from satellite to satellite [1], and can change significantly during interference suppression [8]. This measurement bias cannot be ignored, since it consequently results in a position deviation [9]. Therefore, maintaining high-precision measurement accuracy while suppressing interference is urgently needed.…”

Section: Introductionmentioning

confidence: 99%

Anti-Jamming GNSS Antenna Array Receiver with Reduced Phase Distortions Using a Robust Phase Compensation Technique

Li,

Wang,

Tang

et al. 2023

Remote Sensing

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Antenna arrays with adaptive filtering can protect the integrity and functionality of global navigation satellite system (GNSS) receivers against interference. However, a major problem with existing adaptive array processing algorithms is that they cause phase distortions and introduce bias errors into the carrier phase measurement, limiting high-precision applications. In this paper, a robust phase compensation technique is proposed to reduce the phase distortion. First, a phase bias detection method is developed to trigger the phase compensation technique. Then, the phase bias is estimated using a robust estimation method and compensated for in the GNSS receiver. The proposed technique operates in real time and causes no processing delay, while requiring only a minor modification to existing GNSS receivers. This technique is applied to the power inversion adaptive antenna, and can also be extended to a wide variety of adaptive antennas. The simulation experiments verify the applicability of the proposed technique and also confirm its superiority over existing techniques.

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A new blind anti‐jamming algorithm based on a novel antenna array design

Cited by 5 publications

References 18 publications

Reconfigurable intelligent surface enhanced MISO‐OFDM anti‐jamming communications: Joint active and passive precoding design

Reconfigurable intelligent surface enhanced MISO‐OFDM anti‐jamming communications: Joint active and passive precoding design

Robust blind space‐time adaptive processing for measurement error mitigation in GNSS receivers

Anti-Jamming GNSS Antenna Array Receiver with Reduced Phase Distortions Using a Robust Phase Compensation Technique

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