Design of Direct Digital Synthesizer (DDS) Based on Field Programmable Gate Array (FPGA) for Electrical Impedance Tomography (EIT)

https://doi.org/10.22146/juliet.v6i1.102579

Isnan Nur Rifai(1*), Wijayanti Dwi Astuti(2), Jans Hendry(3), Ardhi Wicaksono Santoso(4), Alief Purnomo Aji(5)

(1) Department of Electrical Engineering and Informatics, Universitas Gadjah Mada
(2) Department of Electrical Engineering and Informatics, Universitas Gadjah Mada
(3) 
(4) 
(5) 
(*) Corresponding Author

Abstract


Direct Digital Synthesizer (DDS) systems play a critical role in high-precision signal generation for applications like medical imaging and RF communications. This research explores the development of a DDS system using Field-Programmable Gate Array (FPGA) technology, with a focus on optimizing signal accuracy, resource efficiency, and signal-to-noise ratio (SNR). The study implemented two DDS designs on an FPGA: one based on the CORDIC algorithm and the other using a Look-Up Table (LUT) approach. Key components of the system included a phase accumulator, phase register, and frequency calculation algorithms. The system's performance was evaluated by measuring signal output accuracy and SNR, utilizing the ISL6961IAZ DAC and RF Transformers PWB2010LC for signal conversion and transmission. The results showed that the DDS achieved near-target frequencies, with outputs of 100.4 kHz for a target of 100 kHz and 498.8 kHz for a target of 500 kHz. The LUT-based design demonstrated superior signal fidelity, achieving an SNR of 106 dB compared to 92 dB for the CORDIC-based design. However, resource utilization analysis revealed a trade-off between logic efficiency and memory usage: the CORDIC design consumed 26% of logic elements and only 1% of memory, while the LUT-based design used 8% of logic elements and 77% of memory. These findings highlight the importance of balancing design choices based on application-specific requirements for precision, resource constraints, and performance.

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References

M. R. Baidillah, A. A. S. Iman, Y. Sun, and M. Takei, “Electrical impedance spectro-tomography based on dielectric relaxation model,” IEEE Sens. J., vol. 17, no. 24, pp. 8251–8262, 2017, doi: 10.1109/JSEN.2017.2710146.

G. Setyawan, P. A. Sejati, K. A. Ibrahim, and M. Takei, “Breast cancer recognition by electrical impedance tomography implemented with Gaussian relaxation-time distribution (EIT-GRTD),” J. Electr. Bioimpedance, vol. 15, no. 1, pp. 99–106, 2024, doi: 10.2478/joeb-2024-0011.

I. N. Rifai, M. R. Baidillah, R. Wicaksono, S. Akita, and M. Takei, “Sodium Concentration Imaging in Dermis Layer by Square-wave Open Electrical Impedance Tomography ( SW- o EIT ) with Spatial Voltage Thresholding ( SVT ),” Biomed. Phys. Eng. Express, vol. 9, pp. 1–13, 2023, doi: 10.1088/2057-1976/acd4c6.

K. Sakai, P. N. Darma, P. A. Sejati, R. Wicaksono, H. Hayashi, and M. Takei, “Gastric functional monitoring by gastric electrical impedance tomography (gEIT) suit with dual-step fuzzy clustering,” Sci. Rep., vol. 13, no. 1, pp. 1–11, 2023, doi: 10.1038/s41598-022-27060-7.

G. Setyawan et al., “Detection of invasive ductal carcinoma in quadrant breast areas by electrical impedance tomography implemented with gaussian relaxation-time distribution (EIT-GRTD),” Biomed. Phys. Eng. Express, vol. 10, no. 5, 2024, doi: 10.1088/2057-1976/ad5db1.

J. Hope, F. Vanholsbeeck, and A. McDaid, “Drive and measurement electrode patterns for electrode impedance tomography (EIT) imaging of neural activity in peripheral nerve,” Biomed. Phys. Eng. Express, vol. 4, no. 6, p. 67002, Sep. 2018, doi: 10.1088/2057-1976/aadff3.

X. Shi et al., “Design and implementation of a high-precision electrical impedance tomography data acquisition system for brain imaging,” Proc. - 2016 IEEE Biomed. Circuits Syst. Conf. BioCAS 2016, pp. 9–13, 2016, doi: 10.1109/BioCAS.2016.7833712.

X. Yue and C. McLeod, “FPGA design and implementation for EIT data acquisition,” Physiol. Meas., vol. 29, no. 10, pp. 1233–1246, 2008, doi: 10.1088/0967-3334/29/10/007.

D. Trebbels, D. Woelki, and R. Zengerle, “High precision phase measurement technique for cell impedance spectroscopy,” J. Phys. Conf. Ser., vol. 224, no. 1, 2010, doi: 10.1088/1742-6596/224/1/012159.

P. A. Sejati, B. Sun, P. N. Darma, T. Shirai, K. Narita, and M. Takei, “Multi-node Electrical Impedance Tomography (mnEIT) throughout Whole-body Electrical Muscle Stimulation (wbEMS),” IEEE Trans. Instrum. Meas., 2023, doi: 10.1109/TIM.2023.3282295.

F. Measurement, I. N. Rifai, P. A. Sejati, S. Akita, M. Takei, and S. Member, “FPGA-Based Planar Sensor Electrical Impedance Tomography ( FPGA-psEIT ) System Characterized by Double Feedback Howland Constant- Current Pump and Programmable,” IEEE Trans. Instrum. Meas., vol. 73, pp. 1–10, 2024, doi: 10.1109/TIM.2024.3441023.

B. B. Murti, “Rancang Bangun Sistem Pemonitor Gelombang Otak Nirkabel Berbasis Mikrokontroler,” J. List. Instrumentasi dan Elektron. Terap., vol. 2, no. 2, pp. 7–13, 2021, doi: 10.22146/juliet.v2i2.70751.

A. S. Tucker, R. M. Fox, and R. J. Sadleir, “Biocompatible, high precision, wideband, improved howland current source with lead-lag compensation,” IEEE Trans. Biomed. Circuits Syst., vol. 7, no. 1, pp. 63–70, 2013, doi: 10.1109/TBCAS.2012.2199114.

P. Revathi, M. V. N. Rao, and G. R. Locharla, “Architecture Design and FPGA Implementation of CORDIC Algorithm for Fingerprint Recognition Applications,” Procedia Technol., vol. 6, pp. 371–378, 2012, doi: 10.1016/j.protcy.2012.10.044.

S. Senthamizh and Y. Sathi, “Area reduction in cordic processor using lookup table Method,” pp. 493–496, 2013.

X. Wang and Q. Mei, “High-Precision Design of DDS Based on FPGA,” in 2012 Third Global Congress on Intelligent Systems, 2012, pp. 386–389, doi: 10.1109/GCIS.2012.20.

E. I. Alwi, “Analisis Kualitas Sinyal Wifi Pada Universitas Muslim Indonesia,” INFORMAL Informatics J., vol. 4, no. 1, p. 30, 2019, doi: 10.19184/isj.v4i1.10153.



DOI: https://doi.org/10.22146/juliet.v6i1.102579

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SINTA 4 accredited based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol. 2 No. 1 (2020) - Vol. 6 No. 1 (2025)

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