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Performance enhancement of LR WPAN spread spectrum system using chaotic spreading sequences

机译:利用混沌扩散序列的LR WPAN扩频系统性能提升

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摘要

Performance enhancement using chaotic spreading sequences on Low Rate Wireless Personal Area Network is presented. Several one-dimensional chaotic maps are used for generating optimized chaotic sequences for spread spectrum applications. The system parameter of one-dimensional chaotic maps is varied to generate sample-based chaotic signals. Correlation properties analysis is used to generate optimized chaotic sequences. Spreading sequences with a high value of Golay figure of merit are chosen as optimized spreading sequences. Chaotic sequences with high Golay figure of merit factor are expected to have better synchronization and bit error performance. The LR-WPAN model is programmed for USRP (Universal Software Radio Peripheral) software defined radio platform using LabVIEW. The performance of chaotic spreading sequences is evaluated against Gold spreading sequences using the proposed system model. The performance evaluation is based on comparing bit error rate and error vector magnitude in multiple access scenario. The results show that optimized chaotic sequences have better performance than Gold codes. (C) 2020 Elsevier GmbH. All rights reserved.
机译:介绍了在低速率无线个人区域网络上使用混沌扩频序列的性能提升。几个一维混沌映射用于为扩频应用产生优化的混沌序列。多维混沌映射的系统参数变化以产生基于样品的混沌信号。相关性能分析用于生成优化的混沌序列。选择具有高较高价值的展开序列优异的优化扩展序列。预计具有高戈尔也优异因子的混沌序列将具有更好的同步和误差性能。使用LabVIEW为USRP(通用软件无线电外设)软件定义的无线电平台编程了LR-WPAN模型。使用所提出的系统模型对金扩散序列评估混沌扩散序列的性能。性能评估基于多次访问方案中的比较误码率和错误矢量幅度。结果表明,优化的混沌序列具有比金代码更好的性能。 (c)2020 Elsevier GmbH。版权所有。

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