DocumentCode :
1844114
Title :
An Improved Hybrid Positioning Weighted Method Based on LS Weighted Estimation
Author :
Huang Tao ; Liu Li-nan
Author_Institution :
Bengbu Naval Petty Officer Acad., Bengbu, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
726
Lastpage :
729
Abstract :
We study the advantages of the DOA and TDOA methods in passive locating algorithm. DOA method is simple and less computation, but the precision is relatively poor; TDOA method has high precision, but the demand of time unification is very high for each observation station, the system is more complex, however the positioning error is high for low altitude target. So an improved hybrid positioning LS weighted method is presented. First we calculate the target localization by a master station and a secondary station measurement information in turn with LS estimation, then fuse several positioning results which are calculated with different secondary station measurement information. Through the introduction of appropriate weighting factor, we get the final radiation source location coordinates. The simulation result shows the effectiveness of the improved LS weighted method.
Keywords :
direction-of-arrival estimation; least squares approximations; navigation; DOA methods; LS weighted estimation; TDOA methods; hybrid positioning weighted method; improved LS weighted method; master station; passive locating algorithm; radiation source location coordinates; secondary station measurement information; target localization; time unification demand; Coordinate measuring machines; Direction-of-arrival estimation; Estimation; Measurement uncertainty; Position measurement; Time measurement; Weight measurement; DOA; TDOA; least square; weight;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.196
Filename :
6643112
Link To Document :
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