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Please use this identifier to cite or link to this item:
http://ir.ncue.edu.tw/ir/handle/987654321/11782
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| 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
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| Issue Date: | 2012-07-02T02:08:32Z
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| 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
track. |
| 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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