Feature extraction of underwater low-velocity targets based on 1-2/1-spectrum
The feature extraction and target recognition of low-velocity targets near the port is difficult in signal processing. After the spectral characteristics of low-velocity targets are analyzed, the paper uses 11/2 -spectrum as the method of feature extraction. The advantages are as follow. 11/2-spectrum can suppress the Gaussian white noise. It can enhance weak fundamental frequency components of harmonic signal and extract quadratic phase coupling components. In view of the advantages mentioned above, the paper applies 11/2- -spectrum based on higher order statistics to the feature extraction of low-velocity targets for the first time. A 20-dimensional feature vector is extracted by using 11/2-spectrum sub-band energy method. High and low velocity targets are classified with the use of BP neutral network. The results show that the average recognition rate is more than 85％. It is concluded that the method of 11/2 spectrum is effective to distinguish high-velocity targets with low-velocity ones.
low-velocity targets recognition higher order statistis 12/1-spectrum BP netrual network
Yongsheng Yan Haiyan Wang Xiaohong Shen
College of Marine Engineering Northwestern Polytechnical University Xian,China
国际会议
长春
英文
240-243
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）