Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A note on the effects of narrow-band and stationary signal model assumptions on the covariance matrix of sensor-array data vectors

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

1 Author(s)
Kirlin, R.L. ; Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

The authors examine the nonideality and meaning of two model assumptions, narrowbandedness and stationarity, particularly for finite energy pulse sources. Analysis of the eigenstructure of covariance matrices of vectorized sensor array time samples is a current methodology for determining multiple signal source parameters. It is shown that the intersensor correlations estimated using finite length records can only fit aspects of the stationary, narrowband model under certain conditions. The results explain peculiarities which have surfaced in previous simulations and point toward improved preprocessing procedures. These include narrowband filtering, selection of data window parameters, and preflattening (or presteering). The authors relate the findings to those in other recent literature dealing with wideband data

Published in:

Signal Processing, IEEE Transactions on  (Volume:39 ,  Issue: 2 )