By Topic

A new algorithm for joint DOA and multipath delay estimation: separable dimension subspace method

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)
Jian Mao ; Sigprowireless Inc., Ottawa, Ont., Canada ; Champagne, B. ; O'Droma, M. ; Lijia Ge

With the growing capacity demand in wireless communication systems, space division multiplexing and space-time processing by means of antenna arrays are becoming ever more attractive as a technology to improve system performance, especially for the reduction of multipath effects. This paper presents a new low complexity and high accuracy algorithm to estimate the multipath delays and direction of arrivals (DOAs) simultaneously in wireless communication systems. By using separable dimension correlation processing, the temporal and spatial signal subspaces are formed and the joint two dimensional delay/DOA estimation problem is separated into two simpler one dimensional estimations

Published in:

Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on

Date of Conference: