HARDWARE-SOFTWARE EMBEDDED SYSTEM OF SIGNAL FREQUENCY SELECTION ON GYRATOR

2021;
: pp.37-42
1
Lviv Polytechnic National University
2
Department of Medical Informatics, Danylo Halytsky Lviv National Medical University
3
Lviv Polytechnic National University
4
Lviv Polytechnic National University
5
Lviv Politecnic National University
6
Danylo Halytsky Lviv National Medical University

The work is devoted to the problem of frequency-selective signal conversion in microelectronic sensor devices. It has been shown that the signal path of such devices, in particular, sensor nodes in the concept of the Internet of Things, must meet the requirements of embedded systems using a mixed analog-digital front end. The analysis of the signal transformation of photovoltaic sensors, in particular the problem of a significant parasitic influence of extraneous non-informative optical radiation and electromagnetic interference, has been carried out. SPICE models of photovoltaic sensor signal circuits providing frequency selection on bandwidth filters have been synthesized. The main approaches of hardware-software implementation of the built-in system of frequency selection with the mixed-signal transformation are considered. The signal path of the embedded system includes a gyrator, a software-controlled amplifier, a synchronous demodulator, an analog-to-digital converter, and a digital filter. The implementation is carried out on the platform of the programmable system on a PSoC chip. The integrated circuits of the PSoC 5 LP Family Cypress Semiconductor Corporation are used with a wide range of programmable analog front-end nodes, in particular operating amplifiers, comparators, units on switching capacitors, reference voltage sources on the principle of the forbidden zone, analog multiplexers, signal synthesizers, etc. The efficiency of the mixed analog and digital signal conversion is shown.

[1] J. Huang, R. Li, J. An, D. Ntalasha, F. Yang, K. Li, "Energy-Efficient Resource Utilization for Heterogeneous Embedded Computing Systems", IEEE Transactions on Computers, vol. 66, no. 9, pp. 1518 - 1531, 2017.
https://doi.org/10.1109/TC.2017.2693186
[2] H. Hu, T. Islam, A. Kostyukova, S. Ha, S. Gupta, "From Battery Enabled to Natural Harvesting: Enzymatic BioFuel Cell Assisted Integrated Analog Front-End in 130nm CMOS for Long-Term Monitoring", IEEE Transactions on Circuits and Systems, vol. 66, no. 2, pp. 534 - 545, 2019.
https://doi.org/10.1109/TCSI.2018.2869343
[3] B. Kim, "Dithering Loopback-Based Prediction Technique for Mixed-Signal Embedded System Specifications", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 2, pp. 121 - 125, 2016.
https://doi.org/10.1109/TCSII.2015.2482419
[4] G. Xie, Y. Chen, Y. Liu, Y. Wei, R. Li, K. Li, "Resource Consumption Cost Minimization of Reliable Parallel Applications on Heterogeneous Embedded Systems", IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1629 - 1640, 2017.
https://doi.org/10.1109/TII.2016.2641473
[5] D. Jo, G. Kim, "ARIoT: scalable augmented reality framework for interacting with Internet of Things appliances everywhere", IEEE Transactions on Consumer Electronics, vol. 62, no. 3, pp. 334 - 340, 2016.
https://doi.org/10.1109/TCE.2016.7613201
[6] I. Akita, T. Okazawa, Y. Kurui, A. Fujimoto, T. Asano, "A Feedforward Noise Reduction Technique in Capacitive MEMS Accelerometer Analog Front-End for UltraLow-Power IoT Applications", IEEE Journal of Solid-State Circuits, vol. 55, no. 6, pp. 1599 - 1609, 2020.
[7] H. Serra, I. Bastos, J. L. A. de Melo, "A 0.9-V Analog-to-Digital Acquisition Channel for an IoT Water Management Sensor Node", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 10, pp. 1678 - 1682, 2019.
https://doi.org/10.1109/TCSII.2019.2933276
[8] Yu. Yang, J. Yang, "Low-power low-noise inductorless front-end for IoT applications", 6th International Symposium on Next Generation Electronics (ISNE), 2017.
https://doi.org/10.1109/ISNE.2017.7968711
[9] PSoC® 5LP, CY8C52LP Family Datasheet. Programmable System-on-Chip, 2019. [Online]. Avialable: https://www.cypress.com/file/45916/download.
[10] R. Barazarte, G. Gonzalez, M. Ehsani, "Generalized Gyrator Theory", IEEE Transactions on Power Electronics, vol. 25, no. 7, pp. 1832 - 1837, 2010.
https://doi.org/10.1109/TPEL.2010.2042820
[11] R. Chen, Z. Yang, "CMOS Transimpedance Amplifier for Visible Light Communications", IEEE Transactions on Very Large-Scale Integration Systems, vol. 23, no. 11, pp. 2738 - 2742, 2015.
https://doi.org/10.1109/TVLSI.2014.2365462
[12] F. Alam, R. Mehmood, I. Katib, N. Albogami, A. Albeshri, "Data Fusion and IoT for Smart Ubiquitous Environments: A Survey", IEEE Access, vol. 5, pp. 9533 - 9554, 2017.
https://doi.org/10.1109/ACCESS.2017.2697839
[13] E. Song, G. FitzPatrick, K. Lee, "Smart Sensors and Standard-Based Interoperability in Smart Grids", IEEE Sensors Journal, vol. 17, no. 23, pp. 7723 - 7730, 2017.
https://doi.org/10.1109/JSEN.2017.2729893
[14] A. Grimmer, W. Haselmayr, R. Wille, "Automated Dimensioning of Networked Labs-on-Chip", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 38, no. 7, pp. 1216 - 1225, 2019.
https://doi.org/10.1109/TCAD.2018.2834402
[15] W. Xu, J. Wang, H. Shen, H. Zhang, X. You, "Indoor Positioning for Multiphotodiode Device Using VisibleLight Communications", IEEE Photonics Journal, vol. 8, no. 1, 2016.
https://doi.org/10.1109/JPHOT.2015.2513198
[16] Transimpedance amplifier with high sensitivity E909.07, ELMOS Semiconductor AG, Data Sheet, 2014. [Online]. Available: m: http://www.elmos.com.
[17] R. Holyaka, T. Marusenkova, D. Fedasyuk, "Signal model for spatial position sensors in magnetic tracking systems", Innovative Technologies and Scientific Solutions for Industries, no. 1, pp. 5-18, 2020.
https://doi.org/10.30837/2522-9818.2020.11.005
[18] R. Holyaka, T. Marusenkova, D. Fedasyuk, "Measuring logarithmic signal converter for magnetic tracking systems", Measuring Equipment and Metrology, vol. 81, no. 1, pp. 16-21, 2020.
https://doi.org/10.23939/istcmtm2020.01.016
[19] G. Barylo, R. Holyaka, I.Prudyus, S. Fabirovskyy, "Technique of increasing the impedance measuring transducers accuracy at inharmoniousness signals", Visn. NTUU KPI, Seriia - Radiotehnika Radioaparatobuduvannia, no. 70, pp. 30-36, 2017.
https://doi.org/10.20535/RADAP.2017.70.30-36
[20] O. Boyko, R. Holyaka, Z. Hotra, A. Fechan, H. Ivanyuk, O. Chaban, T. Zyska, I. Shedreyeva, "Functionally integrated sensors of thermal quantities based on optocoupler", In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments. International Society for Optics and Photonics, vol. 10808F, 2018.