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An M-sequence-based baseband network analyzer using a combination of hardware and software correlator

机译:基于M序列的基带网络分析仪,结合了硬件和软件相关器

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In this contribution, an m-sequence-based system for network analysis is presented. This system is based on a new correlator concept, which combines the advantages of a hardware and a software correlator. In hardware, the multiplication of the received signal with a time lagged version of the excitation signal is performed. This enables a correlation for desired time lags resulting in a short measurement time, especially for long m-sequences. In software, integrate and dump (I&D) is performed, which enables a precise integration over one sequence length or integer multiples thereof, resulting in a high side maxima suppression. Furthermore, compared to a pure software correlator, the requirements with regard to the sample and hold stage are significantly lower. First, the fundamental properties of m-sequences and of the realized correlator are discussed. Afterwords, results with optimized measurement time and dynamic range of the system, derived from numerical simulations, are presented. Furthermore, to experimentally validate the system concept, a demonstrator has been realized. Measurement results showing the achievable dynamic range are presented.
机译:在此贡献中,提出了一种用于网络分析的基于m序列的系统。该系统基于新的相关器概念,该概念结合了硬件和软件相关器的优点。在硬件中,将接收到的信号与激励信号的时滞形式相乘。这样可以实现所需时滞的相关性,从而缩短测量时间,尤其是对于较长的m序列。在软件中,执行积分和转储(I&D),可实现一个序列长度或其整数倍的精确积分,从而实现较高的最大抑制。此外,与纯软件相关器相比,对采样和保持阶段的要求要低得多。首先,讨论了m序列和实现的相关器的基本性质。总结之后,介绍了从数值模拟得出的,具有优化的测量时间和系统动态范围的结果。此外,为了通过实验验证系统概念,已经实现了演示器。给出了显示可达到的动态范围的测量结果。

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