Cart (Loading....) | Create Account
Close category search window

A sparse signal reconstruction perspective for direction-Of-arrive estimation with a distributed polarization sensitive array

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)
Hui Chen ; Dept. of Electr. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Qun Wan ; Yi Peng Liu ; An Min Huang

This paper deal with the problem of direction-of-arrival (DOA) estimation with a polarization sensitive array. The proposed DOA estimation method is based on a sparse representation of polarization sensor measurements with an overcomplete basis composed of samples from the polarization sensitive array manifold. It enforces sparsity by ¿1-norm to obtain a sharp amplitude estimate of the sparse solution vector that exhibits better resolution. There are two main steps considered about our associated sparse constrained algorithm: searching the sparsest solution of the matrix equation; and finding the DOA by calculating non-zero elements location of the sparsest solution. The obtained performance gain includes improved robustness to noise and the reduced computation complexity. We demonstrate the effectiveness of the method on simulated data by plots of amplitude values and by computing the estimator error.

Published in:

Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on

Date of Conference:

13-15 Nov. 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.