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A Maneuvering Target Detecting Method Based on Lifting Wavelet Transform Algorithm
Shi Jianfang; Qi Le; He Chengwei
2008
Conference NameIEEE International Conference on Cybernetic Intelligent Systems (CIS 2008)
Source Publication2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2
Conference DateSEP 21-24, 2008
Conference PlaceChengdu, PEOPLES R CHINA
Abstract

Signals which is composed of all kinds of different frequencies can be decomposed into different frequency domains by using wavelet transform to realize de-noising efficiently. Lifting wavelet algorithm has some advantages, such as simple computing, easy programming, and fast speed. A quick method of maneuvering detection based on lifting wavelet transform algorithm is proposed. Multi-resolution measure data can be obtained by using lifting wavelet transform in the algorithm which has the advantages of computing easier, maneuvering detection delay smaller and detection probability higher. A framework of five-layer lifting wavelet decomposition was used for target movement track, the out-put multi-resolution measure data are used to update the target state of interacting multi-model algorithm. Simulation result shows that the algorithm can extract the maneuvering of target from strong-noisy circumstance, and display maneuvering moment clearly. Tracking performance is improved. 

KeywordTarget Tracking Maneuvering Detection Lifting Wavelet Transform
DOI10.1109/ICCIS.2008.4670851
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000269285300120
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionInstitute of Chinese Medical Sciences
AffiliationCollege of Information Engineering, Taiyuan University of Technology, 030024, China
Recommended Citation
GB/T 7714
Shi Jianfang,Qi Le,He Chengwei. A Maneuvering Target Detecting Method Based on Lifting Wavelet Transform Algorithm[C],2008.
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