An Innovative Embedded Processor-Based Signal Phase Shifter Algorithm

Hamza, Aven R. and Hussein, Mohammed A. (2024) An Innovative Embedded Processor-Based Signal Phase Shifter Algorithm. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 12 (1). pp. 19-28. ISSN 2410-9355

Text (Research Article) ARO.11358.VOL12.NO1.2024.ISSUE22-PP19-28.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (3MB)

Abstract

Digital filtration is widely used today in many application fields, and with the increased use of low-cost embedded processors, it can be applied to vast areas. A drawback of digital filtration algorithms is the introduction of phase angle shifts in the filtered signals, thereby creating undesirable characteristics in many application fields. In this work, low-pass filters of finite impulse response and infinite impulse response types are designed with an innovative buffering scheme to delay a digitally low-passed signal by an angle ranging from 0° to 180° for real-time signals. The application of the filtration and buffering scheme on a cost-effective embedded processor with limited signal processing capabilities opens the horizons for its applicability in many signal processing fields. In assessing its practicality, the generated filtered output signal is correlated with the original signal (a low-passed version), revealing correlation values reaching 0.99 in certain instances. The novelty of the proposed approach enables its application to a broad-spectrum area of digital signal filtration.

Item Type:	Article
Additional Information:	Agrawal, N., Kumar, A., and Bajaj, V., 2020. A new design approach for nearly linear phase stable IIR filter using fractional derivative. IEEE/CAA Journal of Automatica Sinica, 7(2), pp.527-538. DOI: https://doi.org/10.1109/JAS.2020.1003054 Dallalbashi, Z.E., 2020. MatLab based design and implemetation of digita filter. IJCSNS International Journal of Computer Science and Network Security, 20(1), p.95. Hannah, A.A.S., and Agordzo, G.K., 2020. A design of a low-pass FIR filter using hamming window functions in Matlab. Computer Engineering and Intelligent Systems, 11(2), pp.24-30. Kockanat, S., and Karaboga, N., 2015. The design approaches of two-dimensional digital filters based on metaheuristic optimization algorithms: A review of the literature. Artificial Intelligence Review, 44, pp.265-287 DOI: https://doi.org/10.1007/s10462-014-9427-1 .Kohn, A.F., 2006. Autocorrelation and Cross‐Correlation Methods. In: Wiley Encyclopedia of Biomedical Engineering. Wiley, United States. DOI: https://doi.org/10.1002/9780471740360.ebs0094 Kuo, S.M., and Lee, B.H., 2001. Real-Time Digital Signal Processing: Implementaions, Applications and Experiements with the TMS320C55X. Wiley, Hoboken, NJ, USA. DOI: https://doi.org/10.1002/0470845341 Lai, X., 2009. Optimal design of nonlinear-phase FIR filters with prescribed phase error. IEEE Transactions on Signal Processing, 57(9), pp.3399-3410. DOI: https://doi.org/10.1109/TSP.2009.2021639 Lai, X., and Lin, Z., 2016. Iterative reweighted minimax phase error designs of IIR digital filters with nearly linear phases. IEEE Transactions on Signal Processing, 64(9), pp.2416-2428. DOI: https://doi.org/10.1109/TSP.2016.2521610 Li, J., 2022. A Comparative Study of Different Filters for Speech Signals. In: International Conference on Intelligent Systems, Communications, and Computer Networks, China, pp.394-403. DOI: https://doi.org/10.1117/12.2652575 Nor, N.M., Hashim, N.M.Z., Rosli, S.N., and Aziz, K.A.A., n.d. AStudy on Application Digital Filtering for Audio Signal Processing in Digital Signal Processing. IEEE, United States. Ozkan, I.A., and Saday, A., 2018. Design and Implementation of FIR Filter based on FPGA. Marketlinks Logo, Bulgaria. Pal, R., 2017. Comparison of the Design of FIR and IIR Filters for a Given Specification and Removal of Phase Distortion from IIR Filters. IEEE, United States, pp.1-3. DOI: https://doi.org/10.1109/ICAC3.2017.8318772 Pandey, A., and Pratibha, E., 2022. A review of techniques for optimization and implementation of digital filters on FPGA. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 10(6), pp.133-139. DOI: https://doi.org/10.22214/ijraset.2022.43516 Smith, S.K., 2013. Digital Signal Processing: A Practical Guide for Engineers and Scientists. Elsevier, Netherlands.Tan, J., and Burrus, C.S., 2019. Near-Linear-Phase IIR Filters Using Gauss-Newton Optimization. IEEE, United States, pp.876-879. Tan, L., and Jiang, J., 2018. Digital Signal Processing: Fundamentals and Applications. Academic Press, United States.The MathWorks, Inc., 2023. MathWorks. Available from: https://www.mathworks.com/help/signal/ref/fir1.html [Last access on 2023 Aug 15]. Vijay, V., Rao, V., Chaitanya, K.R., Venkateshwarlu, S.C., Pittala, S., and Vallabhuni, R.R., 2022. High-Performance IIR Filter Implementation Using FPGA. IEEE, United States, pp.354-358. DOI: https://doi.org/10.1109/ICRTCST54752.2022.9781944 Wang, Z., 2022. Different methods of linear phase IIR filer realization. Highlights in Science, Engineering and Technology, 27, pp.167-171. DOI: https://doi.org/10.54097/hset.v27i.3739 Xiao, C., Olivier, J.C., and Agathoklis, P., 2001. Design of linear phase IIR filters via Weighted Least-Squares Approximation. Proceedings (Cat. No. 01CH37221). IEEE, United States, pp.3817-3820. Zhao, H., 2022. Analysis of FIR Filter and IIR Filter for Human Speech Signal different Effects. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, China, pp.272-280. DOI: https://doi.org/10.1117/12.2655535
Uncontrolled Keywords:	Finite impulse response digital filter, Infinite impulse response Digital filter, Phase angle shifting algorithms, Signal correlation, Signals buffering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	ARO-The Scientific Journal of Koya University > VOL 12, NO 1 (2024)
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	02 Sep 2024 06:57
Last Modified:	02 Sep 2024 06:57
URI:	http://eprints.koyauniversity.org/id/eprint/466

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