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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,753-1,772, DOI: https://doi.org/10.21307/ijssis-2017-731
License : (CC BY-NC-ND 4.0)
Received Date : 06-July-2014 / Accepted: 03-November-2014 / Published Online: 01-December-2014
Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of multiple signal recognition, the concrete measures of D-S data fusion reasoning was researched and analyzed. By using the combination of simulation calculation and experiment measures, the results show the signal processing method is correct.
Liu Hongyu, Liang Jun, Hu Yuhong, “Study of bispectrum analysis method of heart sound signal parameters based on Wavelet Transform”, Signal processing, Vol.20, No.1, pp.5-9, January 2004. Wen Li, Liu Zhengshi, Ge Yunjian, “Several methods of wavelet denoising”, Journal of HeFei University of Technology, Vol.25, No.2, pp.167-172, February 2002 Mallat S, “Theory for multi-resolution signal decomposition: The wavelet representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.11, No.7, pp.674-693, November 1989.
Han Zhenyu, Shen Xujuan, Shi Zhanglin, “The multi resolution signal analysis and its application in noise elimination”, Journal of Sichuan Union University, Vol.3, No.1, pp.52-58, January 1999. Donoho D L, Johnstone I, “Wavelet shrinkage asymptopia”. Journal of Royal Statistical Society, Vol.57, No.2, pp.301-369, April 1995. Hanshan Li, “Research on photoelectronics properties of array emitting diode and its light energy distribution in detection screen”, Optik, Vol.125, No.3, pp1096-1100, February 2014.  Takagi T, Sugeo M, “Fuzzy identification of system and its application to modeling and control”, IEEE Transit, Man, and Cybern, Vol.15, No.1, pp.116-132, January 1985.  Hanshan Li, Zhiyong Lei, “Calculation Research on Infrared Radiation Characteristic on Flying Projectile in Sky-Screen”, IEEE sensors journal, Vol.13, No.5, pp.1959-1964 , May 2013.  Yoshinari Y, “Construction of Fuzzy Model Technique”, Fuzzy Sets and Systems, Vol.34, No.2, pp.157-165, February 1993. Hanshan Li, Zhiyong Lei, Zemin Wang, Junchai Gao, “Research on Objection Information Extraction Arithmetic in Photo-electric Detection Target Base on Wavelet Analysis Method”. Przeglad Elektrotechniczny, Vol. 88, No. 9, pp.157-161, September 2012. Li Yibing, Ren Dameng, Qu Huiying, “Application of bispectrum estimation in the detection and treatment of seeker signal”, Information technology,Vol. 27, No.9, pp.11-12, September 2003.  K. Sirlantzis, S. Hoque, M. C. Fairhurst, “Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition”, Applied Soft Computing, Vol.8, No.1, pp.437-445, January 2008. Li Junwei, Han Jie, Li Zhinong, Hao Wei, “Wavelet domain bispectrum analysis and its application in fault diagnosis of rolling bearing”, Vibration and shock, Vol.25, No.5, pp.92-95, May 2006.  Barnea D I, Silvverman H F, “A class of algorithms for fast digital image registration”, IEEE Trans on Computers, Vol. 21, No.1, pp.179-186, January 1972.  Hanshan Li, Zemin Wang, Junchai Gao, Zhiyong Lei, “Analysis and calculation object detection capture rate in multi-sky-screens across measurement system”, Optik, Vol.124, No.20, pp.4369-4373, October 2013.
 Vladimir M. Gold, Ernest L. Baker, “A model for fracture of explosively driven metal shells”, Engineering Fracture Mechanics ,Vol. 75, No.3, pp.275-280, March 2008.
 Hanshan Li, “Research on a new photoelectric detection method to anti-muzzle's flame or light disturbance and projectile's information recognition in photoelectric detection target”, Optoelectronics and advanced materials-rapid communications, Vol.8, No.(7-8), pp.653-658, July 2014 .  Liao Chongda, Gao Gui-ming, “D-S Evidence theory in the application of radar target recognition”, Radar and against, Vol.3,No.3, pp.32-34, March 2008.  Huang C M, Liu D, Fu LC, “Visual Tracking in Cluttered Environments Using the Visual Probabilistic Data Association Filter”, IEEE Trans on Robotics, Vol. 22, No.6, pp.1292-1297, June 2006.  Zhou Bingyu, Lu Ye, Li Zhuang, Wu Haining, “D-S Evidence theory method in the application of target recognition”, Photoelectric technology application, Vol.22,No.5, pp.67-70, May 2007.  Satoshi Tsuboi, Masahiro Ohka, Hanafiah Yussof. “Object Handling Precision Using Mouse-like Haptic Display Generating Tactile and Force Sensation”, International journal on smart sensing and intelligent systems, Vol.6, No.3, pp810- 832, June 2013.  Liu Tongming, “Fuzzy reasoning based on evidence theory of multi-sensor information fusion target recognition in the sea”, Pattern recognition and artificial intelligence ,Vol.12, No.1, pp.25-31, January 1999.  Gao Jun-chai, Liu Ming-yong and Xu Fei. “Moving target detection based on global motion estimation dynamic environment”, International journal on smart sensing and intelligent systems, Vol.7, No.1, pp 360 -379, March 2014.  Fu Yanjun, Sun Kaifeng, Shi Chao, “D-S Evidence theory and its application in target recognition” , Air force engineering university journal,Vol.9, No.4, pp.50-52,April 2008.