The variable part of the parameter vector is projected onto the signal subspace to identify intrinsic structural features of the scene and estimate the RCS.

This article indicates that each component of the speaker's characteristic parameter vector usually has the different distribution, and has different validity.

The generalized eigen analysis is employed to directly and effectively estimate the ellipse parameter vector. The detectability and fitting accuracy are significantly improved.