NDLI: An adaptive threshold of two-stage data correlation algorithm for three-passive-sensor location system

Content Provider	IEEE Xplore Digital Library
Author	Li Zhou Weihua Zhang You He
Copyright Year	2006
Description	Author affiliation: Math & Inf. Coll., Yantai Normal Univ. (Li Zhou)
Abstract	The calculation burden of the traditional optimal algorithm of three-dimension (3D) assignment problem in the three-passive-sensor location system is heavy. It is hard to be adopted by the actual application of engineering. The two-stage algorithm which can decrease the calculation burden of the suboptimal data correlation algorithm-Lagrangian relaxation algorithm has been discussed in the past research work, but the calculation way of the statistic test threshold in the rough correlation before the optimal process has not been better resolved. This paper studies this problem and puts forward an adaptive method which can decide the statistic test threshold of the rough correlation properly, and the complexities of algorithms involved are compared and analyzed. As the new method removes a great number of false location points from the optimal process properly, it can not only decrease the heavy calculation burden of the location system, but also improve the accuracy of data correlation correspondingly. Simulation result shows its feasibility and validity
Starting Page	5
Ending Page	237
File Size	1499188
Page Count	233
File Format	PDF
ISBN	0780393953
DOI	10.1109/ISSCAA.2006.1627618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis System testing Target tracking Statistical analysis Current measurement Data engineering Polynomials Helium Statistics Lagrangian functions
Content Type	Text
Resource Type	Article

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