DocumentCode :
3048776
Title :
Statistical analysis of backscatter data from 300 kHz multibeam echo sounder
Author :
Xu, Chao ; Li, Haisen ; Chen, Baowei ; Zhou, Tian
Author_Institution :
Nat. Lab. of Underwater Acoust. Technol., Harbin Eng. Univ., Harbin, China
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
2196
Lastpage :
2200
Abstract :
The seafloor high-frequency backscatter average statistics, including the backscatter strength and the backscatter cross section, are statistically analyzed. According to Gamma distribution model of the backscatter cross section, the probability density function (PDF) of the backscatter strength is derived, and it is proved that the backscatter strength approaches a Gaussian distribution. The data recorded by a 300 kHz multibeam echo sounder are used to calculate the backscatter cross section and the backscatter strength at different angles. The statistical distributions of the two kinds of statistics are compared with theoretical distribution models. The results show that Gamma distribution correctly fit the distribution of the backscatter cross section, and Gaussian distribution accurately fit the distribution of the backscatter strength. Furthermore, the estimated parameters of two distribution models vary with the incidence angles.
Keywords :
Gaussian distribution; backscatter; gamma distribution; sonar signal processing; statistical analysis; Gaussian distribution; backscatter cross section; backscatter data; gamma distribution; multibeam echo sounder; probability density function; seafloor; statistical analysis; statistical distributions; Backscatter; Educational technology; Gaussian distribution; Rough surfaces; Sea floor; Sea surface; Sonar; Statistical analysis; Statistical distributions; Surface roughness; Gamma distribution; Gaussian distribution; backscatter cross section; backscatter strength; multibeam echo sounder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512303
Filename :
5512303
Link To Document :
بازگشت