A Research Development in Autocorrelation of Nonlinear Pseudorandom Sequences

Abstract

Nonlinear continuous value sequences have been widely used as pseudorandom sequences, but their autocorrelation rules make us puzzled. Yet the nonlinear continuous value sequences are neither same as the well known binary sequences, nor same as the well known noise sequences. So we have to find other effective methods to study the autocorrelation rules of nonlinear sequence. In this paper, we introduced a phase space method to study their autocorrelation rules, and some simple yet effective conclusions were reached to assess and improve their autocorrelation performances. Many simulations were presented, too.