Performance analysis of an interference cancellation technique for radio navigation

Jang, Junyong; Seo, Seung‐Woo; Ahn, Woo-Guen; Lee, Jangyong; Park, Junpyo

doi:10.1049/iet-rsn.2017.0142

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…However, because of the low broadcasting power and long transmitting distance, the GNSS signal is easily jammed by unintentional or intentional Radio Frequency Interference (RFI) [6,7], which has become a rising problem to high precision GNSS applications. To mitigate the influence of RFI, antenna array processing is widely used in military and some other high-end applications, because it can suppress not only narrow-band but also broadband interference [8,9].…”

Section: Introductionmentioning

confidence: 99%

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

Chen

Xie

et al. 2020

Electronics

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Radio frequency interference has become a rising problem to the signal of the Global Navigation Satellite System (GNSS). An effective way to achieve anti-jamming is by using an antenna array in GNSS signal processing. However, antenna array processing will cause a decline in the accuracy of pseudo-range measurements because of the channel mismatch and some other non-ideal factors. To solve this problem, space–time or space–frequency adaptive array processing is widely used for interference cancellation while constraining the delay of each antenna at the same time. In this paper, an anti-jamming algorithm with a time-delay constraint is proposed, where one antenna is chosen as the reference and data from other antennas is corrected based on the signal received from it. The deduction and simulation results show that the proposed algorithm can effectively improve the accuracy of pseudo-range measurements without degradation of anti-jamming performance.

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Section: Introductionmentioning

confidence: 99%

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

Chen

Xie

et al. 2020

Electronics

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“…Global navigation satellite system (GNSS) has been widely applied in both military and civil fields because it can provide all‐time, all‐weather, and high accuracy position, navigation, and timing service to global users [1–5]. However, GNSS receivers are easily attacked by interferences due to the weakness of GNSS signals whose power is even 20 dB lower than the ambient noise floor [6–8].…”

Section: Introductionmentioning

confidence: 99%

Interference mitigation for GNSS receivers with dual‐polarised sensitive arrays in the joint space–frequency–polarisation domain

Wang¹,

Yao²,

Zhang³

et al. 2019

IET Radar, Sonar & Navigation

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“…However, GNSS receivers will be interfered when interferences are strong enough. Antenna array processing technique provides an effective method to cancel interferences [10,11,12]. The concept is to apply weights on the signals received by different array elements to form nulls towards the arriving directions of incoming interferences while steering the array response towards the desired GNSS signals.…”

Section: Introductionmentioning

confidence: 99%

A Novel Beamforming Algorithm for GNSS Receivers with Dual-Polarized Sensitive Arrays in the Joint Space–Time-Polarization Domain

Wang

Yao

Yang

et al. 2018

Sensors

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Dual-polarized sensitive arrays (DPSAs) with the space–time-polarization adaptive processing (STPAP) technique, which employs the polarization domain as well as the space domain and time domain to filter out interferences, can cancel a larger number of wideband interferences for GNSS receivers. However, the traditional STPAP beamforming algorithm, which requires a separate adaptive filter for each GNSS satellite, will make the process computationally intensive as there are multiple GNSS satellites in the field of view (FOV). In order to overcome the shortcoming, a novel STPAP beamforming algorithm based on the minimum variance distortionless response (MVDR) criterion is proposed. Compared with the traditional STPAP beamforming algorithm, the proposed STPAP beamforming algorithm can process multiple GNSS satellites at once using only one adaptive filter, which will greatly reduce the computational complexity. Moreover, the proposed algorithm will not lead to a sharp deterioration in the output carrier-to-noise density ratio (C/N0) performance if the number of GNSS satellites processed in the same adaptive filter is proper. Furthermore, to calculate weight vector iteratively, an adaptive algorithm based on the constrained least mean square (CLMS) method is derived for the proposed STPAP beamforming algorithm. Simulation results validate that the proposed algorithm is effective in mitigating interferences for GNSS receivers in the joint space–time-polarization domain and meanwhile has lower computational complexity when maintaining the output C/N0 performance close to that of the traditional STPAP algorithm.

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Performance analysis of an interference cancellation technique for radio navigation

Cited by 7 publications

References 16 publications

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

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

Interference mitigation for GNSS receivers with dual‐polarised sensitive arrays in the joint space–frequency–polarisation domain

A Novel Beamforming Algorithm for GNSS Receivers with Dual-Polarized Sensitive Arrays in the Joint Space–Time-Polarization Domain

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