A Chaos-Based High Quality PN Sequence Generator for DSSS System

Chaos-based DSSS systems are widely investigated recently. Concrete implementation of theses chaos-based systems usually arise some problems because the ideal statistical properties of a chaos system requires finite computation precision. This paper proposes a couple chaotic systems based stochastic multi-bits quantification algorithm, which extends the period of the chaotic PN sequence and strengthens the anti reverse iteration based reconstruction attack ability under precision restricted condition. The balance and correlation properties of the generated sequence are analyzed. The sequence is proved to be a binary Bernoulli sequence and the side lobes of odd/even auto and cross correlation are proved to obey normal distribution N(0, 1/N). Experimental results show that the algorithm has excellent statistical properties, and can be used to generate PN sequence with higher quality than conventional single bit and multi-bits algorithms