High Precision Pseudo-Range Measurement in GNSS Anti-Jamming Antenna Array Processing

Lu, Zukun; Chen, Feiqiang; Xie, Yuchen; Hongliang, Cai

doi:10.3390/electronics9030412

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…The time-domain adaptive anti-jamming technology can achieve good interference suppression performance for narrow-band interference, and it can be embedded in navigation receiver DSP independently with a small processor [33]. The classical least-mean-square (LMS) algorithm is used most often in adaptive filters because of its characteristics of small calculation and simple implementation, which uses MMSE as the optimal criterion and the steepest descent of the gradient to minimize the mean square of the error signal [34].…”

Section: Time Domain Adaptive Anti-jamming Filter Modelmentioning

confidence: 99%

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

Song

Xiao

et al. 2021

Remote Sensing

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Adaptive filtering algorithms can be used on the time-domain processing of navigation receivers to suppress interference and maintain the navigation and positioning function. The filter length can affect the interference suppression performance and hardware utilization simultaneously. In practical engineering, the filter length is usually set to a large number to guarantee anti-jamming performance, which means a high-performance receiver requires a high-complexity anti-jamming filter. The study aims at solving the problem by presenting a design method for the optimal filter order in the time-domain anti-jamming receiver, with no need for detailed interference information. According to interference bandwidth and jam-to-signal ratio (JSR), the approach designed a band-stop filter by Kaiser window for calculating the optimal filter order to meet interference suppression requirements. The experimental results show that the time-domain filtering processing has achieved good interference suppression performance for engineering requirements with optimal filter order in satellite navigation receivers.

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Section: Time Domain Adaptive Anti-jamming Filter Modelmentioning

confidence: 99%

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

Song

Xiao

et al. 2021

Remote Sensing

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“…Chen et al analyzed the influence of receiver group delay on QMBOC signal correlation peak, but did not involve signal threat and final ranging biases [26]. Li et al have done a lot of research on channel characteristics of navigation signals, which can provide theoretical reference for channel model in this paper [27][28][29][30][31][32][33][34][35]. In order to reduce the influence of group delay on signal ranging performance in actual receiver channel design, it is necessary to study the effect of channel characteristics on ranging performance to guide receiver design.…”

Section: Introductionmentioning

confidence: 99%

Analysis of ranging biases of BOC signal threat based on non-ideal channel group delay characteristics

Liu

Xiao²,

Xiaozhou³

et al. 2023

Front. Phys.

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Satellite signal threat is an important kind of satellite signal anomaly, which will lead to ranging biases of user receiver. BOC modulation is used more and more widely in the field of satellite navigation system. In the existing literature, there is a shortage that the non-ideal characteristics of the channel are not taken into account in the ranging biases analysis of BOC signal threat. The non-ideal characteristic of the receiving channel is one of the main bias sources of navigation signal reception. In the process of receiving navigation signal, due to the jitter caused by channel noise and the non-ideal phase of the channel, ranging biases will be introduced. To solve this problem, this paper proposes the analysis model of ranging biases of BOC signal threat based on non-ideal channel characteristics, and analyzes the non-ideal group delay characteristics of BOC (1,1) signal incoherent ranging mode. From the analysis results of ranging biases under multiple threated signals, it can be seen that the non-ideal group delay characteristics will worsen the ranging biases of BOC signal threat in most cases. In the sense of minimum ranging biases caused by BOC signal threat, 0.3chip∼0.35chip is the recommended parameter for non-coherent reception of BOC (1,1) early late code.

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“…Especially, the space-time array processing (STAP) technology which digitally weights and sums the antenna array time-taps data, takes the advantages of both time-domain and spatialdomain, hence, it is treated as the most effective approach in the GNSS anti-jamming fields (Gao et al 2016). Unfortunately, the undesired bias would be introduced to the GNSS carrier phase due to the traditional STAP, since the array processing can be regarded as an equivalent filter whose random phase response is related to the analog components (Lu et al 2020). Typically, the bias is more than 40°, and sometimes even causes the tracking loop out of lock in some serious situations (Marathe et al 2015), which significantly influences the robust tracking of receivers and limits the application of array technology.…”

Section: Introductionmentioning

confidence: 99%

Robust Carrier Phase Tracking in the GNSS Space-Time Anti-Jam Array Processing

Xie,

Lu,

Chen

et al. 2023

Preprint

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Maliciously or not, jamming is one of the most serious threats to GNSS users, since it worsens the signals’ quality and causes the receivers out of function. There are many ways for the GNSS anti-jam; among them, the space-time array processing (STAP) technology is the most effective. However, the traditional STAP introduces carrier phase bias to signals, which may decrease the precision of phase tracking or even cause unlock of the receiver tracking loop. Although plenty of algorithms are studied to solve this problem, many prerequisites are needed for them to be applied, such as the calibration of antennas or the signals’ direction. Hence, these methods cannot be widely used in the general array receivers. In this paper, the carrier phase bias correction (CPBC) algorithm is proposed for robust GNSS carrier phase tracking in the static STAP anti-jamming receivers, which does not require the intricate pre-information compared to the traditional methods. The CPBC estimates the STAP-introduced bias in the phase tracking loop and corrects it by phase shift. The simulation and two types of open-sky tests show that the CPBC effectively mitigates the phase bias with a residual error less than 8°, and it maintains the robust phase tracking in the GNSS receiver.

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High Precision Pseudo-Range Measurement in GNSS Anti-Jamming Antenna Array Processing

Cited by 13 publications

References 18 publications

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

Analysis of ranging biases of BOC signal threat based on non-ideal channel group delay characteristics

Robust Carrier Phase Tracking in the GNSS Space-Time Anti-Jam Array Processing

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