Title :
Chaotic spreading sequences with multiple access performance better than random sequences
Author :
Ling Gong ; Shaoqian, Li
Author_Institution :
Nanjing Inst. of Commun. Eng., China
fDate :
3/1/2000 12:00:00 AM
Abstract :
The authors present a theoretical analysis on a performance index W 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, W is expressed in terms of ensemble-averaged autocorrelation functions and simple explicit formulae for W 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
Keywords :
chaos; code division multiple access; correlation theory; interference (signal); performance index; sequences; spread spectrum communication; MAI; asynchronous DS/CDMA systems; chaotic spreading sequences; crosscorrelation; ensemble-averaged autocorrelation functions; ergodic theory; multiple access interference; multiple access performance; performance index; Autocorrelation; Chaos; Chaotic communication; Communication systems; Laboratories; Multiaccess communication; Multiple access interference; Performance analysis; Random sequences; Signal to noise ratio;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
