Global positioning method based on polarized light compass system

2018 ◽  
Vol 89 (5) ◽  
pp. 054503 ◽  
Author(s):  
Jun Liu ◽  
Jiangtao Yang ◽  
Yubo Wang ◽  
Jun Tang ◽  
Chong Shen
2013 ◽  
Vol 756-759 ◽  
pp. 354-360
Author(s):  
Hui Juan Zhang ◽  
Chao Wei

Continuous wave (CW) radar and global positioning system (GPS) is the main equipment of trajectory measurement in range. Based on range test background, propose a method to fuse GPS pseudo-range and CW radar range to provide complete trajectory positioning parameters, effectively reduce the impact of the systematic error of the measuring element to improve positioning precision of aircraft orbit solving. Through research on the measurement principle and the practice calculated data is given in this paper. Finally, several famous practical examples and simulation results are presented to illustrate our method efficiently.


Author(s):  
Tan Kim Geok ◽  
Ahmed Wasif Reza ◽  
San Choy Liew

Location Based Services (LBS) has gained increasing popularity in major cities. Due to blocking from man-made structures, the existing Global Positioning System (GPS) could not satisfy LBS applications, especially in street canyon and indoor surroundings. This has lead to the development of Assisted GPS (A-GPS) which can provide better service availability and accuracy gain. In the conventional positioning method, Taylor series expansion is applied to solve non-linear distance equations. This method requires an initial estimation of A-GPS receiver’s position. This paper investigates the positioning method for LBS based on hybrid E-OTD/GNSS. The proposed positioning method is non-Taylor series based. Therefore, it involves less complicated mathematical expansion and substitution. A flexible LBS positioning tool is developed which can generate position information in convenient way. It supports both Taylor series and non-Taylor series based positioning methods. The obtained results showed that the proposed non-Taylor series based positioning method can achieve better positioning accuracy.  


Optik ◽  
2019 ◽  
Vol 187 ◽  
pp. 135-147
Author(s):  
Jun Tang ◽  
Yubo Wang ◽  
Donghua Zhao ◽  
Xiaoting Guo ◽  
Jing Zhao ◽  
...  

2012 ◽  
Vol 263-266 ◽  
pp. 383-386 ◽  
Author(s):  
Ji Zhong Li ◽  
Yan Zhao Li

An AGPS (assisted global positioning system) positioning method was researched with polynomial approximation in this paper. Linear positioning errors were found through the analysis of an AGPS positioning algorithm with mobile station (MS) clock error. These errors were engendered to induce a bias of reference moment. The value of an objective function can be quadratically related to the deviation of reference time. Thus, the objective function curve was fitted with three reference time values, and the lowest point of curve to amend the reference time is determined. This method can eliminate linear positioning error.


2012 ◽  
Vol 29 (3) ◽  
pp. 269-274 ◽  
Author(s):  
Byung-Kyu Choi ◽  
Kyoung-Min Roh ◽  
Sung-Ki Cho ◽  
Jong-Uk Park ◽  
Pil-Ho Park ◽  
...  

2014 ◽  
Vol 696 ◽  
pp. 241-246 ◽  
Author(s):  
Bo Xin Mao ◽  
Shan Liu ◽  
Jian Ping Chai

With the rapid development of mobile communication, the GPS (Global Positioning System) which provides real-time global positioning system has not been able to meet the needs of the indoor accurate positioning. Through simulation, this paper implements the method of indoor three-dimensional positioning based on RSSI compared the positioning accuracy under several kinds of noise. We achieve the good indoor three-dimensional positioning method with the combination of cost, positioning accuracy and positioning precision through the filter and secondary positioning which establishes special propagation model for various different environments.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4080 ◽  
Author(s):  
Xi Liu ◽  
Badong Chen ◽  
Shiyuan Wang ◽  
Shaoyi Du

In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises, especially when the measurements are contaminated by heavy-tailed noises. The proposed filters are then applied to the problem of ship positioning. In order to improve the accuracy and reliability of ship positioning, the positioning method combines the Dead Reckoning (DR) algorithm and the Global Positioning System (GPS). Experimental results of an illustrative example show the superior performance of the new algorithms when applied to ship positioning.


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