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Texas A&M University

Non-data aided digital feedforward timing estimators for linear and nonlinear modulations

Abstract

dc:description.abstract

We propose to develop new non-data aided (NDA) digital feedforward symbol timing estimators for linear and nonlinear modulations, with a view to reducing the sampling rate of the estimators. The proposed estimators rely on the fact that sufficient statistics exist for a signal sampled at the Nyquist rate. We propose an ad hoc extension to the timing estimator based on the log nonlinearity which performs better than existing estimators at this rate when the operating signal-to-noise ratio (SNR) and the excess bandwidth are low. We propose another alternative estimator for operating at the Nyquist rate that has reduced self-noise at high SNR for large rolloff factors. This can be viewed as an extension of the timing estimator based on the square law nonlinearity. For continuous phase modulations (CPM), we propose two novel estimators that can operate at the symbol rate for MSK type signals. Among the class of NDA feedforward timing estimators we are not aware of any other estimator that can function at symbol rate for this type of signals. We also propose several new estimators for the MSK modulation scheme which operate with reduced sampling rate and are robust to carrier frequency offset and phase offset.

Degree

thesis:*
Grantor dc:publisher
Texas A&M University
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sarvepalli, Pradeep Kiran
Contributors dc:contributor
  • Serpedin, Erchin

Subjects

dc:subject × 7

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1969.1/360

Chain of custody

source
Harvested from
Texas Digital Library
Base URL
tdl-ir.tdl.org/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Sarvepalli, Pradeep Kiran. Non-data aided digital feedforward timing estimators for linear and nonlinear modulations. Texas A&M University, 2004. http://hdl.handle.net/1969.1/360