Non-data-aided parameter estimation in an additive white Gaussian noise channel
Paper in proceeding, 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, Antennas and Optical Networks
Lars K. Rasmussen
University of South Australia
Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 2005, Adelaide, South Australia, Australia, 4-9 September 2005
Vol. 2005 1446–-1450
0-7803-9151-9 (ISBN)
2005 IEEE International Symposium on Information Theory, ISIT 2005
Adelaide, Australia,
Adelaide, Australia,
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
DOI
10.1109/ISIT.2005.1523582