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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11782

Title: A New Approach of Tracking Smoother Algorithm
Authors: Lin, D.-C.;Liu, Y.-M.;Chen, H.-T.;Liou, H.-S.;Chung, Yi-Nung
Contributors: 電機工程學系
Keywords: Competitive Hopfield neural network;Compressing radar tracks
Date: 2005-11
Issue Date: 2012-07-02T02:08:32Z
Publisher: Southern Taiwan University of Technology, Department of Electrical Engineering
Abstract: In this paper, a method using a Competitive Hopfield Neural Network (CHNN) is proposed for compressing radar tracks. Based on the CHNN, the
compressing radar track is regarded as a minimization of a criterion function which is defined as the arc-to-chord deviation between the curve and the polygon. The CHNN differs from the original Hopfield network in that a competitive winner-take-all mechanism is imposed. The winner-take-all mechanism adeptly precludes the necessity of determining the values for the weighting factors in the energy function in maintaining a feasible result.
In order to prove the performance, a computer
simulation algorithm is proposed in this paper.
Computer simulation results indicate that this
approach successfully obtains the compressed radar
Relation: 2005 CACS Automatic Control Conference, Tainan, Taiwan, Nov 18-19, 2005
Appears in Collections:[電機工程學系] 會議論文

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