Improvement of distance measurement error by attenuation of ultrasonic transmitter and receiver signal for the ultrasonic positioning system

2018 ◽  
Vol 2018 (0) ◽  
pp. OS4-7
Author(s):  
Shunsuke Matsuoka ◽  
Hiromichi Ito ◽  
Shingo Takahashi ◽  
Takuma Moritani ◽  
Hideki Kawaguchi ◽  
...  
Keyword(s):  
Measurement Error ◽  
Distance Measurement ◽  
Positioning System ◽  
Ultrasonic Transmitter

Analysis of “Distance-Loss” Model Influence Factors in Vehicular Ad Hoc Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1481-1485
Author(s):  
Jiang Feng Wang ◽  
Xue Dong Yan ◽  
Shuo Nie
Keyword(s):  
Measurement Error ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Influence Factors ◽  
Distance Measurement ◽  
Experimental Sample ◽  
Position Information ◽  
Loss Model ◽  
Accurate Position ◽  
Hoc Networks

In vehicular ad hoc network(VANETs), it is crucial for obtaining more accurate position information which variation rules between “distance-loss” model influence factors and distance measurement error is analyzed. Based on qualitative analysis of “distance-loss” model, field experimental scene and scheme are proposed. Using experimental sample data, the relation of environmental factor and shelter factor and distance measurement error is studied quantitatively. The experimental results show that distance measurement performance of optimized “distance-loss” model is significantly improved, and 6.7% is the largest reduction proportion of distance measurement error.

The Application of Kalman Filtering on Vessel Positioning System

2012 ◽  
Vol 263-266 ◽  
pp. 501-505
Author(s):  
Xiong Dong Ding ◽  
Guang Qian Chu
Keyword(s):  
Measurement Error ◽  
Kalman Filtering ◽  
Measurement Errors ◽  
Positioning System ◽  
Location Accuracy ◽  
Wireless Location ◽  
Location System ◽  
The Subject ◽  
Channel Environment

In the ocean, due to the non-ideal channel environment, it is difficult to locate the position of the vessel in the sea quickly and exactly. In order to improve the location accuracy of accident vessel in the ocean, one method is to analyze the main cause of the different kinds of the measurement errors to find their solutions to decrease the errors. The subject that Kalman filtering technology is applied in wireless location system is researched in this paper, which can reduce the measurement error and greatly improve the location accuracy.

Accuracy of a Global Positioning System (GPS) for Weed Mapping

1997 ◽  
Vol 11 (4) ◽  
pp. 782-786 ◽  
Author(s):  
Theodore M. Webster ◽  
John Cardina
Keyword(s):  
Measurement Error ◽  
Global Positioning System ◽  
Patch Size ◽  
Positioning System ◽  
Weed Mapping ◽  
Global Positioning ◽  
The Relationship

Experiments were conducted to test the accuracy of a global positioning system (GPS) in measuring the area of simulated weed patches of varying size and to determine the accuracy in navigating back to particular points in a field. Circular areas of 5, 50, and 500 m2 were established and measured using point and polygon features of a GPS. The GPS estimations of the area of those patches had errors ranging from 7 to 45%, 6 to 15%, and 3 to 6%, respectively, when compared to actual measurements. As patch size increased, errors decreased. A curve describing the relationship between GPS error and patch size had an excellent fit (r2 = 0.92). The error remained the same in all measurements across all patch sizes, but composed a smaller percentage of large patches. The GPS had submeter accuracy in navigation to the correct quadrat 73% of the time, located the correct quadrat 27% of the time, and invariably navigated to within 1.58 m of the correct quadrat. The relationship between patch size and measurement error was applied to natural infestations of hemp dogbane.

A Field Evaluation of Distance Measurement Error in Auditory Avian Point Count Surveys

2007 ◽  
Vol 71 (8) ◽  
pp. 2759-2766 ◽  
Author(s):  
MATHEW W. ALLDREDGE ◽  
THEODORE R. SIMONS ◽  
KENNETH H. POLLOCK
Keyword(s):  
Measurement Error ◽  
Field Evaluation ◽  
Distance Measurement ◽  
Point Count ◽  
Count Surveys
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