| Title: | Low Complexity System on Chip Design to Acquire Signals from MOS Gas Sensor Applications |
| Author(s): | Talens JB; Pelegri-Sebastia J; Canet MJ; |
| Address: | "IGIC Institute, Campus Gandia, Universitat Politecnica de Valencia, 46730 Gandia, Spain. Instituto de Telecomunicaciones y Aplicaciones Multimedia, Campus Gandia, Universitat Politecnica de Valencia, 46022 Valencia, Spain" |
| ISSN/ISBN: | 1424-8220 (Electronic) 1424-8220 (Linking) |
| Abstract: | "Analog signals from gas sensors are used to recognize all types of VOC (Volatile Organic Compound) substances, such as toxic gases, tobacco or ethanol. The processes to recognize these substances include acquisition, treatment and machine learning for classification, which can all be efficiently implemented on a Field Programmable Gate Array (FPGA) aided by Low-Voltage Differential Signaling (LVDS). This article proposes a low-cost 11-bit effective number of bits (ENOB) sigma-delta Analog to Digital Converter (ADC), with an SNR of 75.97 dB and an SFDR of 72.28 dB, whose output is presented on screen in real time, thanks to the use of a Linux System on Chip (SoC) system that enables parallelism, high-level programming and provides a working environment for the scientific treatment of gas sensor signals. The high frequency achieved by the implemented ADC allows for multiplexing the capture of several analog signals with an optimal resolution. Additionally, several ADCs can be implemented in the same FPGA so several analog signals can be digitalized in parallel" |
| Keywords: | Equipment Design *Gases Adc Altera De-1-soc Fpga Lvds MOS gas sensor SoC sigma delta; |
| Notes: | "MedlineTalens, Juan B Pelegri-Sebastia, Jose Canet, Maria Jose eng AICO/2016/046/Generalitat Valenciana/ Switzerland 2021/10/14 Sensors (Basel). 2021 Sep 30; 21(19):6552. doi: 10.3390/s21196552" |
