DocumentCode :
424303
Title :
Weighted fourth order cumulant slice based adaptive dynamic line enhancer
Author :
Guo, Ye-Cai ; Guo, Yi ; Zhao, Jun-Wei
Author_Institution :
Anhui Univ. of Sci. & Technol., China
Volume :
2
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
1036
Abstract :
To overcoming the difficulty of selecting higher order cumulant slices and to suppress Gaussian noise effectively, weighted fourth-order cumulant slice is defined using fourth-order cumulant different slices and updated by the leakage iteration algorithm. The weighted fourth-order cumulant slice-based adaptive line enhancer is proposed. Simulation tests with the underwater target-radiated noise are also carried out The simulation results have shown that the proposed algorithm can perform a drop about from 13dB to 26dB for colored Gaussian noise and that the performance of the proposed algorithm can be improved by governing the weighted coefficients of fourth-order cumulant different slices. Therefore, this algorithm is considered to be suitable for retrieving the underwater moving target-radiated line spectrum signals embedded in highly colored Gaussian noise.
Keywords :
Gaussian noise; higher order statistics; signal denoising; adaptive dynamic line enhancer; colored Gaussian noise; leakage iteration algorithm; underwater moving target-radiated line spectrum signals; underwater target-radiated noise; weighted fourth order cumulant slice; Frequency; Gaussian noise; Line enhancers; Marine technology; Noise level; Radar signal processing; Signal detection; Signal processing algorithms; Sonar equipment; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382340
Filename :
1382340
Link To Document :
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