Algorithm for tropospheric delay estimation using genetic algorithm for calculating the coordinates of a stationary GNSS receiver

2021 ◽  
Author(s):  
Mouhannad Ibrahim ◽  
Vadim Lukyanov
Keyword(s):  
Genetic Algorithm ◽  
Delay Estimation ◽  
Tropospheric Delay ◽  
Gnss Receiver

scholarly journals Tropospheric Delay Estimation for Pseudolite Positioning

2005 ◽  
Vol 4 (1&2) ◽  
pp. 106-112 ◽  
Author(s):  
Jianguo Jack Wang ◽  
Jinling Wang ◽  
David Sinclair ◽  
Leo Watts ◽  
Hung Kyu lee
Keyword(s):  
Delay Estimation ◽  
Tropospheric Delay

A new control method based on fuzzy controller, time delay estimation, deep learning, and non-dominated sorting genetic algorithm-III for powertrain mount system

2019 ◽  
Vol 26 (13-14) ◽  
pp. 1187-1198 ◽  
Author(s):  
Li-Xin Guo ◽  
Dinh-Nam Dao
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Deep Learning ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral

This article presents a new control method based on fuzzy controller, time delay estimation, deep learning, and non-dominated sorting genetic algorithm-III for the nonlinear active mount systems. The proposed method, intelligent adapter fractions proportional–integral–derivative controller, is a smart combination of the time delay estimation control and intelligent fractions proportional–integral–derivative with adaptive control parameters following the speed range of engine rotation via the deep neural network with the optimal non-dominated sorting genetic algorithm-III deep learning algorithm. Besides, we proposed optimal fuzzy logic controller with optimal parameters via particle swarm optimization algorithm to control reciprocal compensation to eliminate errors for intelligent adapter fractions proportional–integral–derivative controller. The control objective is to deal with the classical conflict between minimizing engine vibration impacts on the chassis to increase the ride comfort and keeping the dynamic wheel load small to ensure the ride safety. The results of this control method are compared with that of traditional proportional–integral–derivative controller systems, optimal proportional–integral–derivative controller parameter adjustment using genetic algorithms, linear–quadratic regulator control algorithms, and passive drive system mounts. The results are tested in both time and frequency domains to verify the success of the proposed optimal fuzzy logic controller–intelligent adapter fractions proportional–integral–derivative control system. The results show that the proposed optimal fuzzy logic controller–intelligent adapter fractions proportional–integral–derivative control system of the active engine mount system gives very good results in comfort and softness when riding compared with other controllers.

Line of Sight Refractivity from a standalone GNSS Receiver and Collocated Radiosonde data

2021 ◽  
Author(s):  
Feng Peng ◽  
Li Fei ◽  
Yan Jianguo ◽  
Jean-Pierre Barriot
Keyword(s):  
Precipitable Water ◽  
French Polynesia ◽  
Atmospheric Environment ◽  
Radiosonde Data ◽  
Line Of Sight ◽  
Tropospheric Delay ◽  
High Temporal Resolution ◽  
Satellite Constellations ◽  
Gnss Receiver ◽  
Gnss Network

<p>With its high temporal resolution, unique mesoscale sampling scale and full weather capability, GNSS is now contributing as an important tool for monitoring the global atmospheric environment. The GNSS tropospheric zenith delay and the corresponding precipitable water vapor data (PW) are already widely applied in many weather models. High precision GNSS processing also estimates tropospheric delay gradients, which contain azimuthal isotropic information about the state of the atmosphere. However, the application of GNSS tropospheric delay gradients is not yet fully explored because of several obstacles. First, it suffers from the satellite constellations geometry and multipaths, and the gradients estimations are noisier than the zenithal delays. Second, the delay gradients were first developed for positioning purposes. GNSS tomography takes advantage of the delay gradients but requires a dense GNSS network. Here we introduce a new method to obtain the line-of-sight wet refractivity from a stand-alone GNSS receiver. We assume that the wet refractivity is mainly governed by a scale height (exponential law) and that the departures from the decaying exponential can be mapped as a set of low degree 3D Zernike functions and Chebyshev polynomials. We show up examples of inversion with data acquired at the IGS station in Tahiti, French Polynesia. We will also discuss the possibility of joint inversions with other measurements, using radiosonde data as an example.</p>

Differential Tropospheric Delay Estimation by Simultaneous Multi-Angle Repeat-Pass InSAR

2021 ◽  
pp. 1-18
Author(s):  
Yuanhao Li ◽  
Paco Lopez Dekker ◽  
Gert Mulder ◽  
Lorenzo Iannini ◽  
Pau Prats-Iraola
Keyword(s):  
Delay Estimation ◽  
Tropospheric Delay
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