A Stayed Location Estimation Method for Sparse GPS Positioning Information Based on Positioning Accuracy and Short-Time Cluster Removal

2018 ◽  
Vol E101.A (5) ◽  
pp. 831-843 ◽  
Author(s):  
Sae IWATA ◽  
Tomoyuki NITTA ◽  
Toshinori TAKAYAMA ◽  
Masao YANAGISAWA ◽  
Nozomu TOGAWA
Keyword(s):  
Estimation Method ◽  
Location Estimation ◽  
Positioning Accuracy ◽  
Gps Positioning ◽  
Short Time

High-Accuracy Location Estimation Method Using Public Wireless Networks Based on Radio Intensity Prediction for Logistics Tracking Terminal

2011 ◽  
Author(s):  
N. Yokoi ◽  
H. Hosaka ◽  
K. Sakata
Keyword(s):  
Power Consumption ◽  
Estimation Method ◽  
High Accuracy ◽  
Location Estimation ◽  
Low Power Consumption ◽  
Positioning Accuracy ◽  
Distribution Management ◽  
Intensity Prediction ◽  
Positioning Technique ◽  
Radio Intensity

For higher positioning accuracy of the low-power-consumption tracking terminal specific to the physical distribution management, a positioning technique using the Personal Handy-phone System (PHS) was developed.

Multi-AUV Aided Cooperative 3D-localization for Underwater Sensor Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Meiyan Zhang ◽  
Wenyu Cai
Keyword(s):  
Sensor Networks ◽  
Mean Squared Error ◽  
Autonomous Underwater Vehicles ◽  
Estimation Method ◽  
Location Estimation ◽  
Underwater Sensor Networks ◽  
Coverage Ratio ◽  
Minimum Mean Squared Error ◽  
3D Localization ◽  
Localization Scheme

Background: Effective 3D-localization in mobile underwater sensor networks is still an active research topic. Due to the sparse characteristic of underwater sensor networks, AUVs (Autonomous Underwater Vehicles) with precise positioning abilities will benefit cooperative localization. It has important significance to study accurate localization methods. Methods: In this paper, a cooperative and distributed 3D-localization algorithm for sparse underwater sensor networks is proposed. The proposed algorithm combines with the advantages of both recursive location estimation of reference nodes and the outstanding self-positioning ability of mobile AUV. Moreover, our design utilizes MMSE (Minimum Mean Squared Error) based recursive location estimation method in 2D horizontal plane projected from 3D region and then revises positions of un-localized sensor nodes through multiple measurements of Time of Arrival (ToA) with mobile AUVs. Results: Simulation results verify that the proposed cooperative 3D-localization scheme can improve performance in terms of localization coverage ratio, average localization error and localization confidence level. Conclusion: The research can improve localization accuracy and coverage ratio for whole underwater sensor networks.

scholarly journals Orbit Propagation and Determination of Low Earth Orbit Satellites

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Ho-Nien Shou
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Unscented Kalman Filter ◽  
Estimation Method ◽  
Nonlinear Problems ◽  
Low Earth Orbit ◽  
Earth Orbit ◽  
Positioning Accuracy ◽  
Orbit Propagation

This paper represents orbit propagation and determination of low Earth orbit (LEO) satellites. Satellite global positioning system (GPS) configured receiver provides position and velocity measures by navigating filter to get the coordinates of the orbit propagation (OP). The main contradictions in real-time orbit which is determined by the problem are orbit positioning accuracy and the amount of calculating two indicators. This paper is dedicated to solving the problem of tradeoffs. To plan to use a nonlinear filtering method for immediate orbit tasks requires more precise satellite orbit state parameters in a short time. Although the traditional extended Kalman filter (EKF) method is widely used, its linear approximation of the drawbacks in dealing with nonlinear problems was especially evident, without compromising Kalman filter (unscented Kalman Filter, UKF). As a new nonlinear estimation method, it is measured at the estimated measurements on more and more applications. This paper will be the first study on UKF microsatellites in LEO orbit in real time, trying to explore the real-time precision orbit determination techniques. Through the preliminary simulation results, they show that, based on orbit mission requirements and conditions using UKF, they can satisfy the positioning accuracy and compute two indicators.

Self-Organizing Location Estimation Method Using Received Signal Strength

2006 ◽  
Vol E89-B (10) ◽  
pp. 2687-2695 ◽  
Author(s):  
Y. TAKIZAWA ◽  
P. DAVIS ◽  
M. KAWAI ◽  
H. IWAI ◽  
A. YAMAGUCHI ◽  
...  
Keyword(s):  
Estimation Method ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Location Estimation ◽  
Self Organizing
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