Optimization algorithm for chaotic spread-spectrum sequences and its system performance analysis

In order to gain a good property group of pseudorandom sequences in code division multiple access communication, an optimization algorithm based on the optimized chaotic spread-spectrum sequences is proposed. The method based on the properties of spread-spectrum sequences and multiple access performance index are presented, and 5 kinds of optimized sequences obtained by repeating a truncated and quantized chaotic time series are compared with classical Gold sequences in performance. The computer simulations show that the DS/CDMA systems based on these optimized chaotic spreading sequences perform much better than the conventional pseudorandom ones. It is very useful in solving key problems related to correlation characteristics in CDMA mobile communications, such as multiple access interference and multi-user detection, so the antijamming ability and security of the chaotic communications are greatly improved.