By Topic

Spatially-spread sources and the SMVDR estimator

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
$33 $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

1 Author(s)
Xiaolan Xu ; Center of Excellence in Command, Control, Commun., & Intelligence (C3I), George Mason Univ., Fairfax, VA, USA

A novel algorithm called spread minimum variance distortionless response (SMVDR) algorithm is proposed in this paper for the problem of parameter estimation of spatially spread sources. Traditional estimation techniques have been designed only for point sources. Each point source travels along a single path to an antenna array. However, in wireless communications, a source with multipath propagation is spatially spread from one direction to another direction around nominal direction-of-arrival (DOA). Therefore, the traditional estimation techniques which are based on point source assumption may result in serious performance degradation. Numerical experiments for the case of one Gaussian source have shown that SMVDR exhibits better performance than the subspace-based algorithms for spatially spread source parameter estimation. SMVDR is more computationally efficient than the subspace-based algorithms too. However, SMVDR can not reach the Cramer-Rao bound (CRB) in the example. Recall that the subspace-based methods do not reach the CRB either.

Published in:

Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on

Date of Conference:

15-18 June 2003