Optimization of Code Constructions of Binary Sequences Class on a Basis of Set-Theoretical Representation


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

In this paper there are solved two related problems: the development of the method and correspondent algorithm of code binary sequences synthesis with property of minimal level of side lobes of their aperiodic autocorrelation functions. The method is based on discrete representation of autocorrelation function in form of equations system considered on a set of integer numbers, set-theoretical representation of components of the sequence, their integer-number transformations, mutual properties and relations. There are obtained the expressions defining the dependences of absolute value of the sequence elements on a sum of levels of side lobes of aperiodic and periodic correlation functions; there are defined the necessary conditions of existence binary code sequences ; there are developed the mathematical models of binary code sequences components transformations.

The efficiency criterion of each proposed algorithm is the relation of amount of all possible variants of binary code sequences of definite size l to amount of defined by proposed algorithms; the expressions for these quantities are obtained. The efficiency of proposed method and algorithms is verified by simulation results and it increases with increase of size l.

Sobre autores

V.-M. Miskiv

Lviv Polytechnic National University

Autor responsável pela correspondência
Email: mmiskiv@lp.edu.ua
Ucrânia, Lviv

I. Prudyus

Lviv Polytechnic National University

Email: mmiskiv@lp.edu.ua
Ucrânia, Lviv

R. Yankevych

Lviv Polytechnic National University

Email: mmiskiv@lp.edu.ua
Ucrânia, Lviv


Declaração de direitos autorais © Allerton Press, Inc., 2018

Este site utiliza cookies

Ao continuar usando nosso site, você concorda com o procedimento de cookies que mantêm o site funcionando normalmente.

Informação sobre cookies