Fast Estimation of Multilook K-Distribution Parameters via the Least-Squares Nonlinear Curve-Fitting

摘要：

　　In this paper the author propose a fast and efficient algorithm for multilook K-distribution parameter estimation.It is base on the approximate inverse function of log(v)-(ψ)(v),which is calculated by the least squares nonlinear curve fitting technique.Numerical experiments demonstrate the efficiency and accuracy of this new algorithm.

关键词： K-distribution parameter estimation least squares nonlinear curve fitting

作者: Yang Jian Zhou Qiang Qu Chang-wen Hou Hai-ping

作者单位: Department of Electronic and Information Engineering Naval Aeronautical and Astronautical University PLA 91039 Unit Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 856-860

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）