Model for 5G UDN Positioning System Topology Search Using Dilution of Precision Criterion

2021 ◽  
Author(s):  
Grigoriy Fokin ◽  
Vladimir Sevidov
Keyword(s):  
Positioning System ◽  
Dilution Of Precision ◽  
System Topology

KNOWLEDGE-BASED METHODS FOR OPTIMUM APPROXIMATION OF GEOMETRIC DILUTION OF PRECISION

2010 ◽  
Vol 09 (02) ◽  
pp. 153-170 ◽  
Author(s):  
M. R. MOSAVI
Keyword(s):  
Measurement Errors ◽  
Adaptive Filters ◽  
Essential Feature ◽  
Positioning System ◽  
Dilution Of Precision ◽  
Knowledge Based ◽  
Gps Satellites ◽  
Satellite Geometry ◽  
Influence Measurement ◽  
Geometric Dilution Of Precision

Global Positioning System (GPS) satellites signal processing to obtain all in view satellite measurements and to use them to find a solution and to do integrity monitoring forms a major component of the load on the receiver's processing element. If processing capability is limited there is restriction on the number of measurements which can be obtained and processed. Alternatively, the number of measurements can be restricted and the resulting saving in load on the processor can be used to offer more spare processing time which can be used for other user specific requirements. Thus if m visible satellites can provide measurements only n measurements can be used (n < m). The arrangement and the number of GPS satellites influence measurement accuracy. Dilution of Precision (DOP) is an index evaluating the arrangement of satellites. Geometric DOP (GDOP) is, in effect, the amplification factor of pseudo-range measurement errors into user errors due to the effect of satellite geometry. The GDOP approximation is an essential feature in determining the performance of a positioning system. In this paper, knowledge-based methods such as neural networks and evolutionary adaptive filters are presented for optimum approximation of GDOP. Without matrix inversion required, the knowledge-based approaches are capable of evaluating all subsets of satellites and hence reduce the computational burden. This would enable the use of a high-integrity navigation solution without the delay required for many matrix inversions. Models validity is verified with test data. The results are highly effective techniques for GDOP approximation.

scholarly journals Outdoor Localisation for Navigation Tracking using Differential Global Positioning System Estimation (DGPS) : Positioning Errors Analysis

Mekatronika ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 103-114
Author(s):  
Wi Kang Chew ◽  
Muhammad Aizzat Zakaria
Keyword(s):  
Global Positioning System ◽  
Autonomous Vehicles ◽  
Reference Station ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Dilution Of Precision ◽  
Positioning Errors ◽  
Global Positioning ◽  
Errors Analysis ◽  
Differential Global Positioning System

Global Positioning System (GPS) is a very popular outdoor positioning system. Due to the satellites’ errors signal, the Global Positioning System (GPS) receivers determine the accuracy of a current location with about 100 meters in latitude and 156 meters in longitude. In this few years, the technology on autonomous vehicles is rising. Autonomous vehicles need to navigate with high positioning accuracy for preventing any potential danger to road user. So in this paper, Differential Global Positioning System (DGPS) experiment will be introduced for improve the positioning accuracy. Differential Global Positioning System (DGPS) operations compose of Reference Station and Rover Station. Both of the station will use the GPS receiver for receiving the positioning data from GPS satellites and the positioning data collected from Reference Station will be used to calculate the positioning errors and the errors correction will then be transferred to Rover Station to improve the positioning accuracy. The results obtained will be discussed based on the average and range of errors in both latitude and longitude, number of satellites detected, Horizontal Dilution of Precision (HDOP), Vertical Dilution of Precision (VDOP) and the improvement on Differential Global Positioning System (DGPS) at the same time in different day. In four days’ results, it can be seen that the number of satellites detected will be affected by the Horizontal Dilution of Precision (HDOP) and Vertical Dilution of Precision (VDOP) which cause the positioning errors in latitude and longtitude. The average of positioning errors range between -4.165m and 2.925m in latitude and -0.618m and 1.998m in longitude.

scholarly journals A New Three-dimensional Assessment Model and Optimization for Acoustic Positioning System

2018 ◽  
Author(s):  
Lin Zhao ◽  
Xiaobo Chen ◽  
Yong Hao ◽  
Chengcai Lv ◽  
Lianhua Yu
Keyword(s):  
Dimensional Space ◽  
Three Dimensional ◽  
Assessment Model ◽  
Positioning System ◽  
Positioning Accuracy ◽  
Dilution Of Precision ◽  
Underwater Target ◽  
Geometric Dilution Of Precision ◽  
Dimensional Assessment ◽  
Acoustic Positioning

This paper addresses the problem of assessing and optimizing acoustic positioning system for underwater target localization with range measurements only. We present a new three-dimensional assessment model to assess the optimal geometric beacon formation whether meet user needs. For the sake of mathematical tractability, it is assumed that the measurements of the range between the target and beacons are corrupted with white Gaussian noise with variance is distance-dependent. Then by adopting dilution of precision (DOP) parameters in the assessment model, the relationship between DOP parameters and positioning accuracy is derived. In addition, the optimal geometric beacon formation that will yield the best performance is achieved by minimizing the values of geometric dilution of precision (GDOP) on condition that the position of target is known and fixed. Next, in order to make sure whether the estimate positioning accuracy over interesting region satisfy the precision needed by the users, geometric positioning accuracy (GPA), horizonal positioning accuracy (HPA) and vertical positioning accuracy (VPA) are utilized to assess the optimal geometric beacon formation. Simulation examples are designed to illustrate the exactness of the conclusion. Unlike other work which only use GDOP to optimize the formation and cannot assess the performance of the specified dimensions, this new three-dimensional assessment model can assess the optimal geometric beacon formation in each dimension for any point in three-dimensional space, which can provide users with guidance advices to optimize performance of every specified dimension.

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