Additive companding implementation to reduce ADC constraints for multiple signals digitization

Mathieu Vallérian 1, 2 Florin Hutu 2 Benoît Miscopein 1 Guillaume Villemaud 2 Tanguy Risset 2
2 SOCRATE - Software and Cognitive radio for telecommunications
CITI - CITI Centre of Innovation in Telecommunications and Integration of services, Inria Grenoble - Rhône-Alpes
Abstract : 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.
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Mathieu Vallérian, Florin Hutu, Benoît Miscopein, Guillaume Villemaud, Tanguy Risset. Additive companding implementation to reduce ADC constraints for multiple signals digitization. IEEE International Conference on New Circuits and Systems Conference (NEWCAS), Jun 2015, Grenoble, France. ⟨10.1109/NEWCAS.2015.7182017⟩. ⟨hal-01244711⟩

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