By Topic

Parameters Estimation for Generalized K-Distributed Clutter Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ren Shuang-qiao ; Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha ; Liu Yong-xiang ; Li Xiang ; Zhuang Zhao-wen

In this paper, a novel parameter estimation algorithm is provided for generalized k-distributed clutter model based on the parameter decoupling technology. This estimation algorithm converts a 4-D nonlinear optimization problem into a 1-D optimization problem, which can not only improve the estimation performance, but also reduce the calculation burden and the number of necessary clutter samples. Finally, the simulation experiment is carried out to prove the validity and veracity of the algorithm proposed in this paper

Published in:

Radar, 2006. CIE '06. International Conference on

Date of Conference:

16-19 Oct. 2006