An algorithm for synthesis of binary phase manipulated signals with optimal periodic auto - Correlation properties

Author

Iliev, Mihail ; Bedzhev, Borislav

Author_Institution

Dept. of Telecommun., Univ. of Ruse “Angel Kanchev”, Ruse, Bulgaria

fYear

2015

fDate

18-21 May 2015

Firstpage

191

Lastpage

195

Abstract

The radio signals, possessing the so-named ideal auto - correlation function (ACF), resembling the Dirac delta - function (pulse), are very important for many technical applications. Due to this reason the methods for design of such signals have been intensively researched during the past sixty years. With regard to this situation in the paper we suggest an algorithm for synthesis of infinite classes of binary phase manipulated signals, which real periodic ACFs (PACFs) can be transformed in ideal PACFs by energy-efficient side-lobe suppression filters.

Keywords

correlation methods; interference suppression; radiofrequency filters; Dirac delta-function; binary phase manipulated signals; energy-efficient side-lobe suppression filters; ideal PACF; ideal auto-correlation function; radio signals; real periodic ACF; Algorithm design and analysis; Conferences; Correlation; Decision support systems; Design methodology; Filtering algorithms; Telecommunications; side-lobe suppression filter; signals with ideal periodic auto-correlation; synthesis of phase manipulated signals;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking (BlackSeaCom), 2015 IEEE International Black Sea Conference on

Conference_Location

Constanta

Type

conf

DOI

10.1109/BlackSeaCom.2015.7185113

Filename

7185113