改进斜帐篷序列的自相关和RFM自相关性能

Bin Chen
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引用次数: 2

摘要

混沌序列被广泛用作伪随机序列。但一些已知混沌序列的自相关性能较差,或调制后自相关性能变差,限制了其应用。如斜帐篷序列,不仅具有较差的自相关性能,而且其RFM信号也具有较差的自相关。基于最近提出的APAS定理,我们将Skew Tent映射修改为DS-Skew Tent映射,DS-Skew Tent序列具有良好的自相关和RFM自相关性能,结构简单,而其其他性能保持不变或变得更好,可以得到更广泛的应用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Autocorrelation and RFM Autocorrelation Performance of Skew Tent Sequence
Chaotic sequences have been widely used as pseudorandom sequences. But some well known chaotic sequence has poor autocorrelation, or after modulation, autocorrelation performance become poor, and their applications are limited. Such as Skew Tent sequence, not only has poor autocorrelation performance, but also its RFM signal has poor autocorrelation, too. Based on recently presented APAS theorem, we modified Skew Tent map to DS-Skew Tent map, and DS-Skew Tent sequence has excellent autocorrelation and RFM autocorrelation performance and has simple structure, whereas its other performances are remained invariant or become better, and can be used more widely
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