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Additive companding implementation to reduce ADC constraints for multiple signals digitization

机译:附加压扩实现可减少ADC约束以实现多信号数字化

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In urban sensor networks, the diversity of propagation conditions can lead to the simultaneous reception of signals having very different power levels. Given the diversity of wireless technologies used in this area, implementing gateways using a Software-Defined Radio (SDR) approach seems to be a very practical solution. Overcoming the large dynamic range may however require a very high resolution Analog-to-Digital Converter (ADC) to digitize the weakest signal with a satisfying precision. One possibility to relax this requirement is to use a companding technique before digitization. This paper describes how to use an additive companding approach to reduce ADC's complexity and proposes two implementations of the compressing law.
机译:在城市传感器网络中,传播条件的多样性可能导致同时接收功率水平相差很大的信号。考虑到该领域中使用的无线技术的多样性,使用软件定义无线电(SDR)方法实现网关似乎是一种非常实用的解决方案。但是,要克服较大的动态范围,可能需要非常高分辨率的模数转换器(ADC)才能以令人满意的精度数字化最弱的信号。放松此要求的一种可能性是在数字化之前使用压扩技术。本文介绍了如何使用加法压扩方法来降低ADC的复杂度,并提出了两种压缩规律的实现。

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