For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Stable Decomposition of Mueller Matrix
Jian YANG Yoshio YAMAGUCHI Hiroyoshi YAMADA Masakazu SENGOKU Shiming LIN
IEICE TRANSACTIONS on Communications
Publication Date: 1998/06/25
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Electronic and Radio Applications
radar polarimetry, scattering matrix, Mueller matrix, target classification, decomposition,
Full Text: PDF>>
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.