TY - GEN
T1 - A statistical model for correlated K-distributed sea clutter
AU - Xiaofei, Li
AU - Xiaojian, Xu
PY - 2008
Y1 - 2008
N2 - In this paper, a new model for correlated K-distributed sea clutter simulation is developed, which combines a fast Gamma-distributed random process to make the procedure much simpler. Two parameters, α and β, which can befitted by the mean and standard deviation of the measured data, are included in this model to specify the statistical probability density characteristics of the sea clutter. Based on the analysis of the correlation properties of the compound K distribution, an auto-regressive (AR) model is adopted, which offers an efficient way to generate the sea clutter with specified power spectral.
AB - In this paper, a new model for correlated K-distributed sea clutter simulation is developed, which combines a fast Gamma-distributed random process to make the procedure much simpler. Two parameters, α and β, which can befitted by the mean and standard deviation of the measured data, are included in this model to specify the statistical probability density characteristics of the sea clutter. Based on the analysis of the correlation properties of the compound K distribution, an auto-regressive (AR) model is adopted, which offers an efficient way to generate the sea clutter with specified power spectral.
UR - https://www.scopus.com/pages/publications/51849104139
U2 - 10.1109/CISP.2008.668
DO - 10.1109/CISP.2008.668
M3 - 会议稿件
AN - SCOPUS:51849104139
SN - 9780769531199
T3 - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
SP - 408
EP - 412
BT - Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008
T2 - 1st International Congress on Image and Signal Processing, CISP 2008
Y2 - 27 May 2008 through 30 May 2008
ER -