Chaotic Spreading Sequences with Multiple Access Performance Better Than Random Sequences

The letter presents a theoretical analysis on a performance index for chaotic spreading sequences, which characterizes the multiple access interference introduced by crosscorrelation of a sequence set in asynchronous DS/CDMA systems. Using the ergodic theory, is expressed in terms of ensemble-averaged autocorrelation functions and simple explicit formulae for are obtained, under the assumption of independent seeds. Based on this analysis one can design chaotic spreading sequences performing better than ideal random sequences with respect to multiple access interference.