@article{oai:niigata-u.repo.nii.ac.jp:00001826,
 author = {Yang, Jian and Yamaguchi, Yoshio and Yamada, Hiroyoshi and Sengoku, Masakazu and Lin, Shiming},
 issue = {6},
 journal = {IEICE transactions on communications, IEICE transactions on communications},
 month = {Jun},
 note = {Huynen has already provided a method to decompose a Mueller matrix in order to retrieve detailed target information in a polarimetric radar system. However, this decomposition sometimes fails in the presence of small error or noise in the elements of a Mueller matrix. This paper attempts to improve Huynen's decomposition method. First, we give the definition of stable decomposition and present an example, showing a problem of Huynen's approach. Then two methods are proposed to carry out stable decompositions, based on the nonlinear least square method and the Newton's method. Stability means the decomposition is not sensitive to noise. The proposed methods overcomes the problems on the unstable decomposition of Mueller matrix, and provides correct information of a target.},
 pages = {1261--1268},
 title = {Stable Decomposition of Mueller Matrix},
 volume = {E81-B},
 year = {1998}
}