Science & Technology Review
|
2015, 33(12): 83-87
• Articles •
Newton iterative source localization search algorithm based on the time delay difference characteristic parameters discrimination
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FENG Lijie1, FAN Yao2
Affiliations
1. Information Engineering Department, Engineering University of CAPF, Xi'an 710086, China;
2. College of Information Engineering, Tibet College of Nationalities, Xianyang 712000, China
Published: 2015-06-28
doi: 10.3981/j.issn.1000-7857.2015.12.014
Outline
The positioning accuracy of the TDOA location system is mainly influenced by the time difference measurement and the sensor geometry distribution. For the real-time positioning, due to the mobility and the complexity caused by the environmental goal control, the reasonable, efficient and accurate determination of the measured time delay difference is a plagued issue for researchers. To solve this problem, this paper proposes a method to estimate the error signal delay discrimination based on characteristic parameters. The Newton iterative search algorithm is improved to search for the initial positioning and the end condition. Firstly, the signal characteristic value information is used to establish credibility, then the initial position of the source is found through three sensors of high reliability, its results are taken as the initial values of Newton iteration to avoid the complicated calculation of the traditional method. Finally, with the reliability of each sensor as the weight of the Newton iteration termination condition, the end condition is more reasonable, more close to reality. The experiment shows that this algorithm has high precision and strong robustness.
gross time delay error
/
Newton iterative
/
sensor's credible degree
/
positioning accuracy
冯立杰, 樊瑶.
基于时延差特征参数判别的牛顿迭代振源定位搜索算法.
科技导报,
2015
, 33
(12)
: 83
-87
.
DOI: 10.3981/j.issn.1000-7857.2015.12.014
FENG Lijie, FAN Yao.
Newton iterative source localization search algorithm based on the time delay difference characteristic parameters discrimination[J].
Science & Technology Review,
2015
, 33
(12)
: 83
-87
.
DOI: 10.3981/j.issn.1000-7857.2015.12.014
Year 2015 volume 33 Issue 12
PDF
548
109
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2015.12.014
- Receive Date:2015-03-19
- Online Date:2015-07-15
- Published:2015-06-28