Symbol-rate estimation based on filter bank

Zaihe Yu, Yun Q. Shi, Wei Su

Research output: Contribution to journalConference articlepeer-review

25 Scopus citations


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.

Original languageEnglish (US)
Article number1464868
Pages (from-to)1437-1440
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 2005
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: May 23 2005May 26 2005

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Symbol-rate estimation based on filter bank'. Together they form a unique fingerprint.

Cite this