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

Jin, Yiheng; Hao, Zhang; Lu, Tingting; Yang, Hua; Gulliver, T. Aaron

doi:10.1109/access.2019.2900162

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Furthermore, the presence of jammer also adds the difficulty to the receiver to keep track of the signal as shown in (b)(c), where the bright yellow parts within the red circle in figures indicates that when the desired signal is near the direction of jammer, the signal after PI can not be stable tracked by receivers. Additionally, according to [17], when the direction of desired signal is close to the direction of jammer, antijammer algorithm SOP-PI and STAP-PI can serve to reduce the SNR, which means that in this case, PI not only reduces the power of jammer but also the desired signal. So it can be hard for the receivers to keep track of signal.…”

Section: A Simulation Results 1) Evaluation Results Using Proposed Mmentioning

confidence: 99%

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Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

et al. 2022

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Power inversion algorithms (PI) are widely used by ant-jamming receivers in harsh environment, but it also induces pseudo-range measurement error which is fatal to high precision receivers. In this paper, it proposes a more accurate method based on the S Curve Bias(SCB) to evaluate the pseudorange bias which can actually affect the positioning results, as it excludes a fixed time delay contained in the directly differing method. When using this method to assess the bias, it is found that pseudo-range errors can be influenced by many factors including the type of interference. Simulation as well as experiment based on a 4-element array antenna are designed and carried out. The simulation has shown that both SOP-PI and STAP-PI will bring bias to pseudo-range measurement. Specifically, the maximum bias caused by SOP-PI is 1m while the bias caused by STAP-PI is up to 10m. Moreover, comparing to the method which directly differs the pseudo-range of output signal and the reference signal,the method proposed in this paper has better performance. Furthermore, the experimental results verify the effectiveness of the proposed evaluating method.

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Section: A Simulation Results 1) Evaluation Results Using Proposed Mmentioning

confidence: 99%

“…On the basis of (16) and (17), it can calculate the CCF of the received signal R xx and then using (15) to get weights w.…”

Section: A Analysis Of the Cause Of Pseudo-range Biasmentioning

confidence: 99%

Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

et al. 2022

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“…Adaptive beamforming [ 1 , 2 , 3 ] is widely used for anti-jamming in wireless communications, which suppresses interferences by forming array beam nulls in the directions of the interferers. The power inversion (PI) algorithm [ 4 , 5 , 6 ] is one of the known adaptive beamforming algorithms that has been found to have abundant applications in wireless communication and navigation systems. In practice, the performance of the PI algorithm is affected by non-ideal factors of the hardware [ 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Phase Noise on the Anti-Jamming Performance of Power Inversion Algorithm

Zhou

Wang

et al. 2022

Sensors

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Power inversion (PI) is a known adaptive beamforming algorithm that is widely used in wireless communication systems for anti-jamming purposes. The PI algorithm is typically implemented in a digital domain, which requires the radio-frequency signals to be down-converted into base-band signals, and then sampled by ADCs. In practice, the down-conversion circuit will introduce phase noises into the base-band signals, which may degrade the performance of the algorithm. At present, the impacts of phase noise on the PI algorithm have not been studied, according to the open literature, which is, however, important for practical design. Therefore, in this paper, we present a theoretical analysis on the impacts, provide a new mathematical model of the PI algorithm, and offer a closed-form formula of the interference cancellation ratio (ICR) to quantify the relations between the algorithm performance and the phase noise level, as well as the number of auxiliary antennas. We find that the ICR in decibel decreases logarithmically linearly with the phase noise variance. In addition, the ICR improves with an increasing number of auxiliary antennas, but the increment is upper-bounded. The above findings are verified with both simulated and measured phase noise data.

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“…On the receiver side, these arrays should work efficiently to cater to the weak satellite signals on the earth. A great deal of effort has been exerted to propose different antenna arrays for the Global Navigation Satellite System (GNSS) [5,6,7]. However, almost all of the GNSS antenna array works are focused on the design considerations without investigating the inevitable issue of high RCS due to the larger aperture of the array.…”

Section: Introductionmentioning

confidence: 99%

Design of Low RCS Circularly Polarized Patch Antenna Array Using Metasurface for CNSS Adaptive Antenna Applications

Khan

Chen

et al. 2019

Materials

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A low radar cross section (RCS) circularly polarized patch antenna array operating at the downlink S-band (2492 ± 5 MHz) of the Chinese Compass Navigation Satellite System (CNSS) is proposed. The low RCS is achieved by replacing the conventional metallic ground with an artificial magnetic conductor (AMC)-based metasurface. Two different AMC unit cells are designed having a phase difference within 180 ± 37° and combined in a chessboard-like configuration to realize the AMC-based metasurface. Furthermore, the AMC-based metasurface is utilized as the ground of the CNSS array for wideband RCS reduction. A wideband RCS reduction from 6 GHz to 17 GHz is achieved due to the wideband diffusion property of the AMC unit cells. The maximum RCS reduction is more than 14 dB at 13.3 GHz irrespective of the polarization direction of the incident waves. Moreover, the circular polarization (CP) performance is realized by embedding a circular slot on the patch radiator of the antenna element. The radiation characteristics of the CNSS array are hardly impacted by the inclusion of the metasurface-based ground. The proposed CNSS array has been fabricated and measured. The measurement results are in reasonable agreement with the simulations. The proposed CNSS array can be a good candidate for CNSS adaptive antenna applications where low RCS is simultaneously demanded.

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

Cited by 7 publications

References 19 publications

Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

Impacts of Phase Noise on the Anti-Jamming Performance of Power Inversion Algorithm

Design of Low RCS Circularly Polarized Patch Antenna Array Using Metasurface for CNSS Adaptive Antenna Applications

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