Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics

Yik Chung Wu, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
VolumeIII
ISBN (Print)0780388747, 9780780388741
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: 18 Mar 200523 Mar 2005

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period18/3/0523/3/05

Fingerprint

Cramer-Rao bounds
estimators
Mean square error
Maximum likelihood
time measurement
Statistics
statistics
nonlinearity
simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Wu, Y. C., & Serpedin, E. (2005). Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication (Vol. III). [1415831] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1415831

Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics. / Wu, Yik Chung; Serpedin, Erchin.

2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication. Vol. III Institute of Electrical and Electronics Engineers Inc., 2005. 1415831.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wu, YC & Serpedin, E 2005, Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics. in 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication. vol. III, 1415831, Institute of Electrical and Electronics Engineers Inc., 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, United States, 18/3/05. https://doi.org/10.1109/ICASSP.2005.1415831
Wu YC, Serpedin E. Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication. Vol. III. Institute of Electrical and Electronics Engineers Inc. 2005. 1415831 https://doi.org/10.1109/ICASSP.2005.1415831
Wu, Yik Chung ; Serpedin, Erchin. / Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics. 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication. Vol. III Institute of Electrical and Electronics Engineers Inc., 2005.
@inproceedings{f4c5a5a11a034185b10971d5395723f0,
title = "Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics",
abstract = "In this paper, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration.",
author = "Wu, {Yik Chung} and Erchin Serpedin",
year = "2005",
doi = "10.1109/ICASSP.2005.1415831",
language = "English",
isbn = "0780388747",
volume = "III",
booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Unified analysis of a class of blind feedforward symbol timing estimators employing second-order statistics

AU - Wu, Yik Chung

AU - Serpedin, Erchin

PY - 2005

Y1 - 2005

N2 - In this paper, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration.

AB - In this paper, all the previously proposed digital blind feedforward symbol timing estimators employing second-order statistics are casted into a unified framework. The finite sample mean-square error (MSE) expression for this class of estimators is established. Simulation results are also presented to corroborate the analytical results. It is found that the feedforward conditional maximum likelihood (CML) estimator and the square law nonlinearity (SLN) estimator with a properly designed prefilter perform the best and their performances coincide with the asymptotic conditional Cramer-Rao bound (CCRB), which is the performance lower bound for the class of estimators under consideration.

UR - http://www.scopus.com/inward/record.url?scp=33646819321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33646819321&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2005.1415831

DO - 10.1109/ICASSP.2005.1415831

M3 - Conference contribution

AN - SCOPUS:33646819321

SN - 0780388747

SN - 9780780388741

VL - III

BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication

PB - Institute of Electrical and Electronics Engineers Inc.

ER -