A Nonlinear Method of Characteristic Extraction for Underwater target Recognition

被引：0
|
作者：
Li, Nan [1 ,2 ]
Li, Xiu-kun [1 ,3 ]
机构：
[1] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China
[2] Northeast Dianli Univ, Coll Informat Engn, Chuanying 132012, Jilin, Peoples R China
[3] Harbin Engn Univ, Natl Key Lab Underwater Acoust Technol, Harbin 150001, Peoples R China
来源：
2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS | 2014年
关键词：
Radiated noise; Period line spectrum; Empirical mode decomposition; Stochastic resonance;
D O I：
10.1109/CICN.2014.80
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Underwater target radiated noise signal possesses the features of non-stationary, non-Gaussian and strong background noise. It's difficult to detect characteristics at low signal-noise ratio. Empirical Mode decomposition algorithm is used to handle tranquilization of radiation noises, and then filtered sub-band signal is fed into the improved model of stochastic resonance. By changing internal noise intensity of the system, enhancement of the weak periodic signal is realized under the synergies of system, signal and noise. The simulation results show that the weak signal power spectrum value is improved nearly 25dB when the algorithm is used for detecting characteristics of actual underwater signal.
引用
收藏
页码：324 / 328
页数：5
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