DocumentCode
3361962
Title
Application of wavelet transform in track correlation algorithm
Author
Tian, Baoguo ; Yang, Rijie ; He, You
Author_Institution
Res. Inast. of Inf. Fusion, Naval Aeronaut. Eng. Inst., China
Volume
3
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
2541
Abstract
A new method of track correlation is proposed in this paper according to that wavelet decomposition has a function of signal de-noising. A new generalized classic assignment algorithm of track correlation is formed by wavelet decomposition and reconstruction. This method not only applies the statistical distance between two tracks to track correlation, but also considers the tendency of tracks. The simulation results show that this method is effective.
Keywords
correlation methods; signal denoising; signal reconstruction; statistical analysis; wavelet transforms; generalized classic assignment algorithm; signal denoising; statistical distance; track correlation algorithm; wavelet decomposition; wavelet transform; Covariance matrix; Data processing; Estimation error; Fusion power generation; Helium; Signal analysis; State estimation; Target tracking; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1442299
Filename
1442299
Link To Document