Object

Title: Evaluation of features for the automatic recognition of OFDM signals in monitoring or cognitive receivers, Journal of Telecommunications and Information Technology, 2008, nr 2

Description:

The automatic recognition of signal types is an important task of monitoring receivers and also cognitive receivers. Several modulation recognition or classification procedures exist for single channel signal types while a simple robust procedure for automatic recognition of OFDM signals is lacking because of its numerous frequency channelslying close together. The task considered in this paper is the discrimination between OFDM (or multi-channel) signals and other signal types. The number of frequency channels of the OFDM signals is assumed to be unknown a priori. So, together with the automatic OFDM detection the estimation of the number of frequency channels is treated. Several discrimination features have been examined and the most promising ones are described: measures of the variation, of the skewness, of the kurtosis, and of the specific picket-fence shape of the spectrum which is typical for many OFDM signals. For a number of real-world OFDM samples, recorded from the high frequency range, results are presented. An automatic discrimination from single channel or noise like signals is achieved and the number of system channels can be estimated.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:168

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Object collections:

Last modified:

Jan 5, 2010

In our library since:

Jan 5, 2010

Number of object content hits:

321

All available object's versions:

https://bc.itl.waw.pl/publication/196

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

×

Citation

Citation style:

This page uses 'cookies'. More information