Symbol-rate estimation based on filter bank

Document Type

Conference Proceeding

Publication Date

12-1-2005

Abstract

In non-cooperative communication applications such as automatic modulation recognition, it is necessary to blindly estimate some parameters of the received signal. In this paper, we address the symbol-rate estimation of single-tone (i.e., single-carrier) digitally modulated signals. In the proposed algorithm, we first filter the received signal by using a lowpass filter bank, and then pass each of the filtered outputs through a fourth-order nonlinear unit. By proper design, several nonlinear outputs will have spectral peaks at the frequency of symbol-rate. The proposed algorithm extracts several symbol-rate candidates from each nonlinearity output and assigns a confident metric to each of these candidates. Based on the symbol-rate candidates and their associated metrics, a majority vote scheme is then employed to determine the final estimate of the symbol-rate. The validity of the proposed algorithm has been verified through simulations. © 2005 IEEE.

Identifier

38049059709 (Scopus)

Publication Title

Proceedings IEEE International Symposium on Circuits and Systems

External Full Text Location

https://doi.org/10.1109/ISCAS.2005.1464868

ISSN

02714310

First Page

1437

Last Page

1440

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