New Optimized Selection Algorithm of Chaotic Spread-spectrum Sequences
Gu Cheng
Abstract
Gu Cheng
Abstract
Chaotic sequence with its good correlation performance being sensitive to initial condition and hard to decrypt is used as spread-spectrum code in Direct Sequence Code Division Multiple Access(DS/CDMA) system.In order to improve the security of DS/CDMA system and decrease the multiple access interference,the traditional optimized selection algorithm of chaotic sequence is improved.By studying the chaotic cross-correlation optimization,a new cross-correlation optimized selection algorithm of chaotic spread-spectrum sequence is proposed,and the performance of the optimized sequence is simulated and compared.Experimental results show that the algorithm has better correlation performance,larger capacity and lower multiple access interference.
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Chaotic sequence with its good correlation performance being sensitive to initial condition and hard to decrypt is used as spread-spectrum code in Direct Sequence Code Division Multiple Access(DS/CDMA) system.In order to improve the security of DS/CDMA system and decrease the multiple access interference,the traditional optimized selection algorithm of chaotic sequence is improved.By studying the chaotic cross-correlation optimization,a new cross-correlation optimized selection algorithm of chaotic spread-spectrum sequence is proposed,and the performance of the optimized sequence is simulated and compared.Experimental results show that the algorithm has better correlation performance,larger capacity and lower multiple access interference.
Key concepts: Chaotic, Code division multiple access, Spread spectrum, Computer science, Algorithm, Sequence (biology), Selection (genetic algorithm), Interference (communication)