Positioning performance analysis using RWLS algorithm based on variance estimation methods

Mosavi, Mohammad Reza; Rahemi, N.

doi:10.1016/j.ast.2014.11.021

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…It can be deduced from above paragraphs that if the quality of the digital IF is low [due to the low-power (non-destructive) jamming or due to the non-perfect jamming mitigation], then the positioning accuracy will be decreased. Moreover, movement of the GPS receiver can reduce positioning accuracy [24][25][26][27]. Hence, the improvement of positioning accuracy should be considered in the anti-jamming systems.…”

Section: Jamming Effects On Gps Receivermentioning

confidence: 99%

“…The secondary effect of the jamming (positioning accuracy degradation) is considered in few references [4]. It must be noted that this effect is more critical in kinematic GPS receivers, which the positioning accuracy is also degraded due to the movement of the receiver [24][25][26][27]. Hence, positioning accuracy improvement should be considered in the anti-jamming systems, which are designed for kinematic applications.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid anti‐jamming approach for kinematic global positioning system receivers

Rezaei

Mosavi

2018

IET signal process.

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In this study, a new hybrid anti-jamming system is proposed for kinematic global positioning system receivers. The proposed system employs a short-time Fourier transform (STFT)-based pre-correlation block to guarantee that the receiver can acquire at least four satellites in jamming environments. It also employs a discrete wavelet transform-based denoising block in the navigation unit of the receiver to increase positioning accuracy, which was degraded due to the jamming and also due to the movement of the receiver. Simulation results demonstrate that the proposed system has a better anti-jamming performance compared with previous methods. They show that the average positioning accuracies of the proposed system are 47, 45, and 43% better than the standard STFT-based mitigation method, wavelet-packets transform (WPT)-assisted filter, and WPT-based hybrid system, respectively.

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Section: Jamming Effects On Gps Receivermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid anti‐jamming approach for kinematic global positioning system receivers

Rezaei

Mosavi

2018

IET signal process.

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“…Accurate positioning and parameter estimation in such dynamic stress is very challenging [4]. The methods presented so far, including the differential positioning, use of auxiliary tools and combination with other navigation systems, are either not sufficiently accurate at such speeds or have high complexity and implementation costs [5,6].…”

Section: Introductionmentioning

confidence: 99%

Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter

Rahemi

Mosavi

2021

IET Signal Processing

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It is well known that in high-speed movements, the positioning accuracy of global positioning system (GPS) receivers decreases drastically. The models presented so far to describe high-speed motion do not represent the state of the system precisely, so positioning accuracy with the methods based on these models is not appropriate. Here, a comprehensive method is proposed to solve the accuracy issue of the single-frequency GPS receiver at high-speed motions without increasing the computational complexity. Suitable modelling of the GPS receivers at high-speed motion, using the sequential extended Kalman filter, correct determination of the process noise covariance matrix and accurately estimating the variance of the observations are the basics of the proposed approach. Simulations with different data and motion scenarios (at speeds from 100 to 7300 m/s) show that the proposed method, while not increasing the computational cost, improves the accuracy of positioning more than 70% when compared to the conventional methods.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Therefore, the knowledge of signal propagation time between the transmitter and the receiver can determine the distance between the transmitter and this receiver. This time is measured by the cross-correlation between the replica of the Pseudo-Random Noise code (PRN), Clear /Acquisition code (C/A) or Precision code (P), generated by the receiver and the PRN code transmitted by the satellites (Mosavi and Rahemi, 2015). In current propagation conditions, a number of phenomena lead to errors in the pseudo range.…”

Section: Pseudo Range Measurementsmentioning

confidence: 99%

GNSS Positioning Performance Analysis Using PSO-RBF Estimation Model

Jgouta

Nsiri

2017

Transport and Telecommunication Journal

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Positioning solutions need to be more precise and available. The most frequent method used nowadays includes a GPS receiver, sometimes supported by other sensors. Generally, GPS and GNSS suffer from spreading perturbations that produce biases on pseudo-range measurements. With a view to optimize the use of the satellites received, we offer a positioning algorithm with pseudo range error modelling with the contribution of an appropriate filtering process. Extended Kalman Filter, The RaoBlackwellized filter are among the most widely used algorithms to predict errors and to filter the high frequency noise. This paper describes a new method of estimating the pseudo-range errors based on the PSO-RBF model which achieves an optimal training criterion. This model is appropriate of its method to predict the GPS corrections for accurate positioning, it reduce the positioning errors at high velocities by more than 50% compared to the RLS or EKF methods.

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Positioning performance analysis using RWLS algorithm based on variance estimation methods

Cited by 8 publications

References 19 publications

Hybrid anti‐jamming approach for kinematic global positioning system receivers

Hybrid anti‐jamming approach for kinematic global positioning system receivers

Positioning accuracy improvement in high‐speed GPS receivers using sequential extended Kalman filter

GNSS Positioning Performance Analysis Using PSO-RBF Estimation Model

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