%0 Journal Article %T PRQS Sequences Characteristics Analysis by Auto-correlation Function and Statistical Properties %A Hadjira Badaoui %A Yann Frignac %A Petros Ramantanis %A Badr Eddine Benkelfat %J International Journal of Computer Science Issues %D 2010 %I IJCSI Press %X The goal of this paper is to describe the generation and present characteristics sequences analysis called pseudo random quaternary sequences witch show very remarkable properties. To emulate a real traffic data transmission using Differential Phase Shift keying (DQPSK) modulation format with four levels of phase, we are affecting towards pseudo random quaternary sequences. In particular, we will focus on the autocorrelation function study and statistical properties. Two PRQS Analysis respectively for a length of 63 symbols (m=3) and a sequence of 16383 symbols (m=7) have been used to confirm its properties. We will show an importance of the sequence length. The simulations results are then presented and discussed. %K PRQS sequence analysis %K PRBS sequence %K LSFR register %K irreducible primitive polynomial %K Galois field %K autocorrelation function %K state changes sequence %K IJCSI %U http://www.ijcsi.org/papers/7-4-4-39-43.pdf