Improving performance of DS-CDMA systems using chaotic complex Bernoulli spreading codes

被引:3
作者
Sabahi, Mohammad Farzan [1 ]
Dehghanfard, Ali [2 ]
机构
[1] Univ Isfahan, Dept Elect Engn, Esfahan, Iran
[2] Azad Univ, Dept Elect Engn, Bushehr Branch, Bushehr, Iran
关键词
DS-CDMA system; spread spectrum; chaotic communication; complex chaotic sequence; SEQUENCES; AUTOCORRELATIONS; STATISTICS;
D O I
10.1080/00207217.2014.888781
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The most important goal of spreading spectrum communication system is to protect communication signals against interference and exploitation of information by unintended listeners. In fact, low probability of detection and low probability of intercept are two important parameters to increase the performance of the system. In Direct Sequence Code Division Multiple Access (DS-CDMA) systems, these properties are achieved by multiplying the data information in spreading sequences. Chaotic sequences, with their particular properties, have numerous applications in constructing spreading codes. Using one-dimensional Bernoulli chaotic sequence as spreading code is proposed in literature previously. The main feature of this sequence is its negative auto-correlation at lag of 1, which with proper design, leads to increase in efficiency of the communication system based on these codes. On the other hand, employing the complex chaotic sequences as spreading sequence also has been discussed in several papers. In this paper, use of two-dimensional Bernoulli chaotic sequences is proposed as spreading codes. The performance of a multi-user synchronous and asynchronous DS-CDMA system will be evaluated by applying these sequences under Additive White Gaussian Noise (AWGN) and fading channel. Simulation results indicate improvement of the performance in comparison with conventional spreading codes like Gold codes as well as similar complex chaotic spreading sequences. Similar to one-dimensional Bernoulli chaotic sequences, the proposed sequences also have negative auto-correlation. Besides, construction of complex sequences with lower average cross-correlation is possible with the proposed method.
引用
收藏
页码:1694 / 1704
页数:11
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