Chaotic spreading sequences with multiple access performance better than random sequences

The letter presents a theoretical analysis on a performance index W for cha otic spreading sequences, which characterizes the multiple access interfere nce introduced by crosscorrelation of a sequence set in asynchronous DS/CDM A systems. Using the ergodic theory, W is expressed in terms of ensemble-av eraged autocorrelation functions and simple explicit formulae for W are obt ained, under the assumption of independent seeds. Based on this analysis on e can design chaotic spreading sequences performing better than ideal rando m sequences with respect to multiple access interference.