Continuous modelling of global navigation satellite system multipath errors for sidereal filtering

Zhu, Ting; Chang, Guobin; Chen, Chao; Zhang, Laihong; Zhang, Siyu

doi:10.1049/iet-rsn.2019.0391

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…Through smoothing and interpolation algorithms [27,28], the position-sending period of the cooperative target is reconstructed so that T G = T R , which can be obtained via ∆t 2 = ∆t 1 ∆t; that is, the communication delay is a constant value ∆t. After estimating this value, the position deviation caused by the communication delay can be corrected via combining it with the aircraft speed.…”

Section: Radar Measurement Error Modelmentioning

confidence: 99%

Radar Error Correction Method Based on Improved Sparrow Search Algorithm

Liu,

Shi,

et al. 2024

Applied Sciences

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Aiming at the problem of the limited application range and low accuracy of existing radar calibration methods, this paper studies the radar calibration method based on cooperative targets, and establishes the integrated radar measurement error model. Then, the improved sparrow search algorithm (ISSA) is used to estimate the systematic error, so as to avoid the loss of partial accuracy caused by the process of approximating the nonlinear equation to the linear equation, thus improving the radar calibration effect. The sparrow search algorithm (SSA) is improved through integrating various strategies, and the convergence speed and stability of the algorithm are also improved. The simulation results show that the ISSA can solve radar systematic errors more accurately than the generalized least square method, Kalman filter, and SSA. It takes less time the than SSA and has a certain stability and real-time performance. The radar measurement error after correction is obviously smaller than that before correction, indicating that the proposed method is feasible and effective.

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Section: Radar Measurement Error Modelmentioning

confidence: 99%

Radar Error Correction Method Based on Improved Sparrow Search Algorithm

Liu,

Shi,

et al. 2024

Applied Sciences

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“…There are other error sources such as antenna calibration errors, and aliasing effects with background models also have a substantial impact on resulting GNSS positions. In the high‐precision GNSS static positioning of short baselines, differential techniques can eliminate or reduce most types of satellite, receiver, and atmospheric errors, whereas multipath disturbances do not indicate any clear correlation at the starting and end points of the baselines 7–11 . GNSS multipath errors occur when GNSS signals travel from satellites; subsequently, because of reflection or diffraction to the surrounding objects, the signals reach the receiver via distinct paths 12,13 .…”

Section: Introductionmentioning

confidence: 99%

“…Multipath error modeling methods such as gridding, 18,19 polynomial, 20 and harmonic models 21 are categorized in the space domain. The time‐domain modeling methods depend precisely on the multipath disturbance periodicity, typically known as sidereal filtering 11 . Multipath mitigation algorithms in the measurement domain are primarily centralized on a combination of multipath multifrequency codes and the carrier‐phase smoothing pseudorange.…”

Section: Introductionmentioning

confidence: 99%

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Ansari

Bae

2021

Satell Commun Network

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Summary This study investigates the multipath error modeling and mitigation for triple‐frequency global navigation satellite system (GNSS) signals inside South Korea. Multifrequency global positioning system (GPS), globalnaya navigatsionnaya sputnikovaya sistema (GLONASS), and Galileo data are collected in an environment where the receiver must track these three constellations in both low and high multipath scenarios. First, an advanced power spectrum analysis technique known as Welch method is performed using experimental data, and its benefits and drawbacks are described. In the second attempt, the spectrogram method is utilized to perform multipath feature time–frequency analysis. Although the abnormal frequency peak presented by the spectrogram is stable, the spectrogram does not support the precise recognition of the multipath error peak occurrence. Hence, in the third attempt, continuous wavelet transforms (CWT) are applied to highlight this type of peak resolution. The CWT function successfully indicated the maximum and minimum peak resolutions and exhibited a clear wavelet energy spread. In the final stage, experimental data are reconstructed by inverse CWT (ICWT), and comparative results in terms of root mean square before and after the ICWT are estimated. After implementing the inverse wavelet method in high and low multipath error of experimental data, overall average percentages of multipath mitigation reduction compared to actual multipath error are estimated to be 95.74% and 98.79%, respectively. This study demonstrates the high efficiency of the wavelet method as well as the effectiveness as a multipath error reduction approach. These improvements can be considered as significant in achieving high‐precision positioning accuracy.

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A robust adaptive indirect in-motion coarse alignment method for GPS/SINS integrated navigation system

Wang

2021

Measurement

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Continuous modelling of global navigation satellite system multipath errors for sidereal filtering

Cited by 4 publications

References 34 publications

Radar Error Correction Method Based on Improved Sparrow Search Algorithm

Radar Error Correction Method Based on Improved Sparrow Search Algorithm

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

A robust adaptive indirect in-motion coarse alignment method for GPS/SINS integrated navigation system

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