Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions

Farhad, M. A.; Mosavi, Mohammad Reza; Abedi, Ali; Mohammadi, Karim

doi:10.1017/s0373463320000132

Cited by 2 publications

(1 citation statement)

References 30 publications

(30 reference statements)

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“…e performance of the acquisition algorithm directly affects performance metrics such as the receiver acquisition speed and accuracy [1,2]. For a particular GPS satellite signal, signal acquisition is the estimation of the carrier frequency and code phase of the satellite signal [3][4][5]. Previous research has proposed to use a parallel search algorithm for Doppler frequency and code phase on a two-dimensional grid [6]; however, as finer grid divisions are required to improve acquisition accuracy, while coarser grid divisions are required to improve acquisition speed, this method cannot simultaneously optimize both the acquisition speed and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Study on the High Accuracy and Fast Acquisition of Satellite Signals Based on the Blind Source Separation Technique

Xie

Bai

et al. 2022

Scientific Programming

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To address the problems of slow acquisition speed and low accuracy faced by existing grid search-based satellite acquisition methods in complex scenarios, this study proposes a high accuracy and fast satellite signal acquisition method based on blind source separation. The proposed method first adopts wavelet threshold denoising to reduce the noise in the overlapped satellite signal received by the receiver so as to improve the signal-to-noise ratio of the satellite signal. On this basis, a subspace estimation method is introduced to construct a blind acquisition algorithm for satellite signals, which achieves high accuracy and fast solution for the Doppler frequency shift and code phase shift of satellite carrier signals and is able to recover the unobservable individual source signals. The effectiveness of the proposed method is verified through experiments and compared against the traditional grid search type acquisition method, which confirmed that the method is suitable for the acquisition requirements of weak signals and has a good engineering application value.

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Section: Introductionmentioning

confidence: 99%

Study on the High Accuracy and Fast Acquisition of Satellite Signals Based on the Blind Source Separation Technique

Xie

Bai

et al. 2022

Scientific Programming

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Adaptive Neuro-Fuzzy Inference System-Based GPS-IMU Data Correction for Capacitive Resistivity Underground Imaging with Towed Vehicle System

Dadios,

Jahara Baun,

Louie Enriquez

et al. 2023

Advances in Fuzzy Logic Systems

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This study proposes the utilization of an Adaptive Neuro-Fuzzy Inference System (ANFIS) to correct the latitude and longitude of Global Positioning System (GPS) used in locating towed vehicle system for underground imaging. The input used was the collected data from a developed Real-time Kinematic Global Positioning System sensor integrated with Inertial Measurement Unit. Different ANFIS models were developed and evaluated. For latitude correction, ANFIS model with hybrid optimization trained at 300 epochs was chosen, whereas for longitude correction, ANFIS model with hybrid optimization trained at 100 epochs was selected. Both models achieved the lowest Mean Squared Error (MSE), the highest Coefficient of Determination (R2), and lowest Mean Absolute Error (MAE). Moreover, selected best ANFIS models were compared to Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM) models, but the results showed that the ANFIS models have superior performances. The selected ANFIS models were verified by testing on the collected actual dataset and the visualized map demonstrated that the corrected GPS latitude and longitude have significantly reduced error, indicating that the fuzzy system with neural network capabilities is a cost-effective and convenient method for error reduction in vehicle localization making it applicable to be integrated for capacitive resistivity underground imaging systems.

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Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions

Cited by 2 publications

References 30 publications

Study on the High Accuracy and Fast Acquisition of Satellite Signals Based on the Blind Source Separation Technique

Study on the High Accuracy and Fast Acquisition of Satellite Signals Based on the Blind Source Separation Technique

Adaptive Neuro-Fuzzy Inference System-Based GPS-IMU Data Correction for Capacitive Resistivity Underground Imaging with Towed Vehicle System

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