Change search
ReferencesLink to record
Permanent link

Direct link
Non-data-aided parameter estimation in an additive white Gaussian noise channel
Chalmers University of Technology.
University of South Australia. (Institute for Telecommunications Research)ORCID iD: 0000-0001-7182-9543
2005 (English)In: IEEE International Symposium on Information Theory: Proceedings, 2005, 1446-1450 p.Conference paper (Other academic)
Abstract [en]

Non-data-aided (NDA) parameter estimation is considered for binary-phase-shift-keying transmission in an additive white Gaussian noise channel. Cramér-Rao lower bounds (CRLBs) for signal amplitude, noise standard deviation, channel reliability constant and bit-error rate are derived and it is shown how these parameters relate to the signal-to-noise ratio (SNR). An alternative derivation of the iterative maximum likelihood (ML) SNR estimator is presented together with a novel, low complexity NDA SNR estimator. The performance of the proposed estimator is compared to previously suggested estimators and the CRLB. The results show that the proposed estimator performs close to the iterative ML estimator at significantly lower computational complexity.

Place, publisher, year, edition, pages
2005. 1446-1450 p.
National Category
URN: urn:nbn:se:kth:diva-62636DOI: 10.1109/ISIT.2005.1523582ISI: 000234713801051ISBN: 978-078039151-2ISBN: 0780391519OAI: diva2:480773
2005 IEEE International Symposium on Information Theory, ISIT 05, Adelaide, 4 September 2005 through 9 September 2005
QC 20120124Available from: 2012-01-19 Created: 2012-01-19 Last updated: 2012-01-24Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Rasmussen, Lars Kildehöj

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 11 hits
ReferencesLink to record
Permanent link

Direct link