Non-data-aided parameter estimation in an additive white Gaussian noise channel
2005 (English)In: IEEE International Symposium on Information Theory: Proceedings, 2005, 1446-1450 p.Conference paper (Other academic)
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.
IdentifiersURN: urn:nbn:se:kth:diva-62636DOI: 10.1109/ISIT.2005.1523582ISI: 000234713801051ISBN: 978-078039151-2ISBN: 0780391519OAI: oai:DiVA.org:kth-62636DiVA: diva2:480773
2005 IEEE International Symposium on Information Theory, ISIT 05, Adelaide, 4 September 2005 through 9 September 2005
QC 201201242012-01-192012-01-192012-01-24Bibliographically approved