An Innovative Embedded Processor-Based Signal Phase Shifter Algorithm

Aven R. Hamza; Mohammed A. Hussein

doi:10.14500/aro.11358

Aven R. Hamza Department of Communication Engineering, Sulaimani Polytechnic University,Sulaimani, Kurdistan region – F.R. Iraq https://orcid.org/0000-0001-5250-6634
Mohammed A. Hussein Department of Electrical Engineering, University of Sulaimani,Sulaimani, Kurdistan region – F.R. Iraq https://orcid.org/0000-0002-0423-7860

Keywords: Finite impulse response digital filter, Infinite impulse response Digital filter, Phase angle shifting algorithms, Signal correlation, Signals buffering

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.

Downloads

Download data is not yet available.

Author Biographies

Aven R. Hamza, Department of Communication Engineering, Sulaimani Polytechnic University,Sulaimani, Kurdistan region – F.R. Iraq

Aven Rawf Hamza is an Assistance Lecturer since 2018, and currently is working at Communication Engineering Department, College of Engineering, Sulaimani Polytechnic University (SPU), Iraq. She got her B.Sc. degree in Communication Engineering in 2012, the M.Sc. degree in Communication System Engineering in 2017. Currently she is a Ph.D. student in Digital Signal Processing. She published seven papers in the field of antenna design and signal processing. Her research interests are in Antenna design, Microwave Measurement, Digital Signal Processing, Digital Filtering, and Adaptive Filter Algorithm.

Mohammed A. Hussein, Department of Electrical Engineering, University of Sulaimani,Sulaimani, Kurdistan region – F.R. Iraq

Mohammed A. Hussein is an Associate Professor working at the Department of Electrical Engineering, University of Sulaimani, Iraq. He got his B.Sc. degree in Control and System Engineering in 1986, the M.Sc. Degree in Computer Engineering from the samedepartment in 1991, and the Ph.D. degree in Computer Science with a major
in Client-Server based Remote Systems Control, in 2007. He research interest includes AI applications in engineering field.

References

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