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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Performance evaluation of chaotic spreading sequences on software-defined radio
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Performance evaluation of chaotic spreading sequences on software-defined radio

机译:软件无线电上混沌扩频序列的性能评估

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In this paper, bit error performance evaluation of chaotic sequences is presented. Performance of chaotic sequences is evaluated on multiple access spread spectrum system model for USRP software defined radio. LabVIEW is used to perform numerical simulations and bit error rate analysis. Chaotic sequences of different lengths are generated using one-dimensional, two-dimensional, and three-dimensional maps. It is expected that sequences generated from complex maps will have better multiple access performance. Performance of chaotic sequences is evaluated against orthogonal sequences in multiple access scenario. Using Golay figure of merit and Pearson correlation coefficient, analysis of correlation properties and a comparison is performed on orthogonal and chaotic sequences for correlation properties comparison. The results show that chaotic sequences from two-dimensional maps have lower bit error rate than orthogonal and other chaotic sequences. Comparison of correlation properties shows that sequences with a low figure of merit and low Pearson coefficient have lower bit error rate. Those results can be used to generate chaotic sequences with desired correlation properties.
机译:本文提出了混沌序列的误码性能评估。在用于USRP软件定义的无线电的多址扩频系统模型上评估了混沌序列的性能。 LabVIEW用于执行数值模拟和误码率分析。使用一维,二维和三维图可以生成不同长度的混沌序列。预期从复杂图谱生成的序列将具有更好的多路访问性能。在多址方案中,针对正交序列评估混沌序列的性能。使用Golay品质因数和Pearson相关系数,对相关属性进行分析,并对正交序列和混沌序列进行比较,以进行相关属性比较。结果表明,二维图的混沌序列比正交序列和其他混沌序列的误码率更低。相关特性的比较表明,具有低品质因数和低Pearson系数的序列具有较低的误码率。这些结果可用于生成具有所需相关特性的混沌序列。

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