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Quantization Effects in Digital Chaotic Communication Systems

机译:数字混沌通信系统中的量化效应

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Recent work in developing digital chaotic communication systems has validated the potential to increase low probability of interception/detection (LPI/D) performance levels over direct sequence spread spectrum (DSSS) comms, but at the expense of a multi-bit resolution spreading signal with relatively high peak-to-average power ratio (PAPR). This paper quantifies the LPI/D and communications performance trades that come from reducing the precision of the multi-bit resolution signal, with the objective of optimizing hardware utilization via reduced-precision chaotic signals and quantifying performance trades for disadvantaged platforms. Sensitivities of the digital chaos generation process, baseband transmitter processing, and matched filter reception are considered independently, preliminary measurements for compressed HPA distortion artifacts are also provided. All analyses leverage Matlab simulations and targeted measurements from four prototype hardware digital chaotic communication systems.
机译:在开发数字混沌通信系统方面的最新工作已验证了在直接序列扩频(DSSS)通讯上提高低截获/检测(LPI / D)性能水平的可能性,但以牺牲多比特分辨率扩展信号为代价较高的峰均功率比(PAPR)。本文对降低多位分辨率信号的精度所产生的LPI / D和通信性能进行了量化,目的是通过降低精度的混沌信号来优化硬件利用率,并对处于不利地位的平台进行性能量化。数字混沌产生过程,基带发射机处理和匹配滤波器接收的灵敏度被独立考虑,还提供了压缩HPA失真伪像的初步测量。所有分析都利用Matlab仿真和来自四个原型硬件数字混沌通信系统的目标测量。

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