By Topic

Iterative constrained least squares array shape estimation using sources in unknown locations under a planewave assumption

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

2 Author(s)
Gross, J.H. ; Appl. Res. Lab., Texas Univ., Austin, TX, USA ; Grant, D.E.

Array shape estimation is an important problem in array signal processing. We present an iterative algorithm that estimates two dimensional array element positions via an algebraic solution to a least squares problem, under the assumption that the sources are in the far-field with unknown positions. Under some assumptions, we calculate the dependence of performance on the distribution of the localizing sources. We give examples of algorithm performance from both simulations and real data. We also illustrate algorithm performance for horizontal arrays as a function of time delay estimation variance and the variance of vertical arrival angle estimates

Published in:

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on  (Volume:5 )

Date of Conference:

9-12 May 1995