Title :
The bottom reverberation suppression algorithm for side scan sonar
Author :
Liu Jia ; Xu Feng ; Yang Juan ; An Xudong
Author_Institution :
Inst. of Acoust., Beijing, China
Abstract :
The sea bottom reverberation is one of the important problems, which restrict the bottom targets detection performance with the high frequency imaging sonar. In this paper, a bottom reverberation suppression algorithm is presented to improve the performance of the high frequency side scan sonar for small target detection. In the paper, the statistics characteristic of the target echo and the bottom reverberation is introduced, with the experiment data processing. The target echo and the bottom reverberation could be separated with the difference of the statistics characteristic. And the Blind Source Separated method was applied to implement the signal separation. At last, the effective of this method was proved by the process of the experiment data.
Keywords :
blind source separation; echo suppression; object detection; reverberation; sonar detection; sonar imaging; statistical analysis; blind source separated method; bottom reverberation suppression algorithm; bottom target detection performance; data processing; high frequency imaging sonar; high frequency side scan sonar; sea bottom reverberation; small target detection; target echo statistics characteristic; Blind source separation; Correlation coefficient; Object detection; Reverberation; Sonar detection; Blind Source Separated; Bottom reverberation suppression; Reverberation statistics characteristic; Side scan sonar; Small target detection;
Conference_Titel :
Oceans - St. John's, 2014
Conference_Location :
St. John´s, NL
Print_ISBN :
978-1-4799-4920-5
DOI :
10.1109/OCEANS.2014.7003052