TY - GEN
T1 - Carrier frequency offset estimation for linear channels with periodic characteristics
AU - Shaked, Roee
AU - Shlezinger, Nir
AU - Dabora, Ron
N1 - Publisher Copyright: © 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - Periodic characteristics arise in many communications scenarios. Two major examples are interference-limited communications and power line communications. The most general point-to-point periodic channel model includes periodic variations of the channel transfer function and of the noise statistics. In this work we study carrier frequency offset estimation for linear channels with periodic characteristics. We design a maximum likelihood estimator (MLE), analytically characterize its asymptotic performance, and provide guidelines for its low-complexity implementation. We compare the strengths and weaknesses of the new estimator to those of an ad-hoc extended estimator obtained by adapting an MLE, originally designed for time-invariant channels, to periodically time-varying channels via a time partitioning approach. We numerically evaluate the performance of the new estimator and of the ad-hoc estimator, and illustrate the gain of rigorously accounting for the periodic characteristics of the channel, as opposed to the currently prevailing ad-hoc approach.
AB - Periodic characteristics arise in many communications scenarios. Two major examples are interference-limited communications and power line communications. The most general point-to-point periodic channel model includes periodic variations of the channel transfer function and of the noise statistics. In this work we study carrier frequency offset estimation for linear channels with periodic characteristics. We design a maximum likelihood estimator (MLE), analytically characterize its asymptotic performance, and provide guidelines for its low-complexity implementation. We compare the strengths and weaknesses of the new estimator to those of an ad-hoc extended estimator obtained by adapting an MLE, originally designed for time-invariant channels, to periodically time-varying channels via a time partitioning approach. We numerically evaluate the performance of the new estimator and of the ad-hoc estimator, and illustrate the gain of rigorously accounting for the periodic characteristics of the channel, as opposed to the currently prevailing ad-hoc approach.
KW - Cyclostationary noise
KW - carrier frequency offset estimation
KW - periodically time-varying channels
UR - http://www.scopus.com/inward/record.url?scp=84984653441&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2016.7536846
DO - 10.1109/SPAWC.2016.7536846
M3 - منشور من مؤتمر
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
BT - SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications
T2 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016
Y2 - 3 July 2016 through 6 July 2016
ER -