Non-data-aided parameter estimation in an additive white Gaussian noise channel
Paper in proceedings, 2005

Non-data-aided (NDA) parameter estimation is considered for binary-phase-shift-keying transmission in an additive white Gaussian noise channel. Cramer-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.

Author

Fredrik Brännström

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Lars K. Rasmussen

University of South Australia

IEEE International Symposium on Information Theory (ISIT '05), Adelaide, Australia, Sept. 2005

2157-8099 (ISSN)

1446–-1450

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

DOI

10.1109/ISIT.2005.1523582

ISBN

0780391519

More information

Created

10/8/2017