Referenced Items are not available for this document.
We consider sample-matrix-inversion (SMI)-type estimates of the minimum-mean-square-error (MMSE) and the linearly constrained-minimum-variance (LCMV) linear filters obtained from data records of limited size. We quantify theoretically the (detrimental) effect of the desired-signal energy level on the mean square (MS) filter estimation error and the normalized output signal-to-interference-plus-noise ratio (SINR) by deriving a new exact analytical expression and a lower bound, respectively. For cases where accumulation of pure disturbance observations is not possible, we show theoretically how certain intuitive, pilot-assisted, and decision-directed adaptive filter implementations that utilize desired-signal-present data/observations perform close to their desired-signal-absent counterparts. Simulation studies illustrate our theoretical developments in the context of spread-spectrum communications over multipath fading channels under perfect and nonperfect synchronization.
Published in:
Signal Processing, IEEE Transactions on
(Volume:56
,
Issue:
2
)
Date of Publication: Feb. 2008
- Page(s):
- 437 - 446
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 9748108
- Digital Object Identifier :
- 10.1109/TSP.2007.906764
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 16 January 2008
- Issue Date :
- Feb. 2008
- Sponsored by :
- IEEE Signal Processing Society
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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
