Radioelectronics and radioelectronic equipment manufacturing

Analysis of the Methods for Channel Impulse Response Assessment in Communication Systems with OFDM Technology

Authors

O. Yu. Myronchuk
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ROR
M. V. Shpylka
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ROR
O. M. Tsybrovskyi
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ROR
O. O. Shpylka
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ROR
DOI https://doi.org/10.31649/1997-9266-2025-183-5-6-173-179

Keywords

OFDM digital communication wireless communication channel multipath propagation of signals frequency response impulse response , channel parameter estimation

Abstract

Communication systems are a key tool in the development of modern society. Technological developments have led to the need for high-speed data exchange in large volumes. Therefore, improvement of the existing and creating new communication systems is an urgent task. One of the most promising technologies for the development of digital communication systems is orthogonal frequency division multiplexing (OFDM). The main advantage of OFDM is its high resistance to multi-path fading. In an urban environment, where radio waves are reflected from buildings, the signal arrives at the receiver with different delays, which causes intersymbol interference (ISI). OFDM solves this problem by dividing a high-speed data stream into many slow sub streams, each of which is transmitted on a separate, narrow subcarrier frequency. Due to this, the symbols become longer than the delays caused by reflections, which minimizes the impact of ISI. In addition, OFDM provides high spectral efficiency, that is, it enables to transmit more data per unit of frequency band. This is achieved due to the orthogonality of subcarriers, the spectra of which overlap, but do not interfere with each other. This allows to tightly "pack" subcarriers, making the most of the available frequency range. The paper analyzes methods for estimating the impulse response of a communication channel in communication systems using OFDM technology. Assessment of communication channel parameters is an important stage in the operation of OFDM systems, since the number of errors that occur during information transmission depends on the accuracy of the assessment of channel parameters. In particular, the maximum length sequence method (MLS), which does not require a priori information about the channel, and the linear minimum mean square error method (LMMSE), for which it is necessary to know the autocovariance matrix of the channel, are considered. These methods are widely used in practice, but have their drawbacks. The analysis of the effectiveness of the methods was carried out on a model example by statistical modeling. The communication channel was described using the Rayleigh model. The analysis results showed that the MLS method is simple to implement, but demonstrates worse estimation accuracy compared to the LMMSE method. The LMMSE method shows a gain of up to 2 dB compared to the MLS method, but has an order of magnitude higher computational complexity.

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How to Cite

[1]
“Analysis of the Methods for Channel Impulse Response Assessment in Communication Systems with OFDM Technology”, Вісник ВПІ, no. 6, pp. 173–179, Dec. 2025, doi: 10.31649/1997-9266-2025-183-5-6-173-179.

Author Biographies

O. Yu. Myronchuk, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

PhD, Associate Professor of the Chair of Radioengineering Systems

M. V. Shpylka, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Master's Student of the Chair of Radioengineering Systems

O. M. Tsybrovskyi, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Post-Graduate Student of the Chair of Radioengineering Systems

O. O. Shpylka, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Cand. Sc. (Eng.), Associate Professor of the Chair of Radioengineering Systems

References

Tzi-Dar Chiueh, Pei-Yun Tsai, and I-Wei Lai, Baseband Receiver Design for Wireless MIMO-OFDM Communications, 2nd ed. John Wiley & Sons Singapore Pte. Ltd., 2012.
X. Fan, J. Yang and W. Zhang, “Time-Frequency Synchronization Design of OFDM Systems Based on CAZAC Sequence,” 2020 International Conference on Communications, Information System and Computer Engineering (CISCE), Kuala Lumpur, Malaysia, 2020, pp. 55-58, https://doi.org/10.1109/CISCE50729.2020.00017 .
V. Kotlyarov, O. Myronchuk, and O. Shpylka, “Mathematical description and formalization types of distortion in a digital communication channel with OFDM-signals,” Visnyk NTUU KPI, Seriia – Radiotekhnika Radioaparatobuduvannia, no. 66, pp. 10-18, 2016. https://doi.org/10.20535/RADAP.2016.66.10-18 .
T. A. Kumar, and L. Anjaneyulu, “Channel Estimation Techniques for Multicarrier OFDM 5G Wireless Communication Systems,” 2020 IEEE 10th International Conference on System Engineering and Technology (ICSET), Shah Alam, Malaysia, 2020, pp. 98-101, https://doi.org/10.1109/ICSET51301.2020.9265353 .
J. Guerreiro, R. Dinis, P. Montezuma, and M. Campos, “On the Receiver Design for Nonlinear NOMA-OFDM Systems,” 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-6, https://doi.org/10.1109/VTC2020-Spring48590.2020.9129559 .
A. Moussa, M. Pouliquen, M. Frikel, S. Bedoui, K. Abderrahim, and M. M'Saad, “An Overview of blind Equalization Algorithms for Digital Communications,” 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Sousse, Tunisia. 2019, pp. 491-496. https://doi.org/10.1109/STA.2019.8717267 .
O. Myronchuk, O. Shpylka, S. Zhuk, and Y. Myronchuk, “Two-Stage Methods for Channel Frequency Response Estimation in OFDM Communication Systems Based on Pilots from Current Received Symbol,” 2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, 2022, pp. 500-505 https://doi.org/10.1109/ELNANO54667.2022.9927031 .
X. Lv, Y. Li, Y. Wu, and H. Liang, “Kalman Filter Based Recursive Estimation of Slowly Fading Sparse Channel in Impulsive Noise Environment for OFDM Systems,” IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2828-2835, March 2020, https://doi.org/10.1109/TVT.2020.2965005 .
S. Y. Zhuk, T. V. Malenchyk, O. S. Neuimin, and O. Yu. Myronchuk, “Adaptive Radar Tracking Algorithm for Maneuverable UAV with Probabilistic Identification of Data Using Coordinate and Amplitude Characteristics,” Radioelectron.Commun.Syst. no. 65, pp. 503-516, 2022. https://doi.org/10.3103/S073527272212007X .
Matthias Patzold, “Rayleigh and Rice Channels,” Mobile Radio Channels, Wiley, pp. 55-94, 2011. https://doi.org/10.1002/9781119974116.ch3 .
Antonin Novak, František Rund, and Petr Honzík, “Impulse Response Measurements using MLS Technique on Nonsynchronous Devices,” Journal of the Audio Engineering Society, no. 64 (12), pp. 978-987, 2016. [Electronic resource]. Available: ff10.17743/jaes.2016.0050ff. ffhal-02504349f .
A. Iqbal, V. Jeoti, M. Drieberg, and W. P. Wen, “A Time-Domain Channel Impulse Response Estimation Method for an OFDM Sounding System,” 2019 IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), Kuala Lumpur, Malaysia, 2019, pp. 1-5, https://doi.org/10.1109/ICSIMA47653.2019.9057303 .
Y. Shen, and E. Martinez, “Channel estimation in ofdm systems.” in Frescale Semiconductor Application Note, 2006.
M. H. Mahmud, M. M. Hossain, A. A. Khan, S. Ahmed, M. A. Mahmud, and M. H. Islam, “Performance Analysis of OFDM, W-OFDM and F-OFDM Under Rayleigh Fading Channel for 5G Wireless Communication,” 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India, 2020, pp. 1172-1177, https://doi.org/10.1109/ICISS49785.2020.9316134 .
D. V. Bhimsing, and A. C. Bhagali, “Performance of channel estimation and equalization in OFDM system,” 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, India, 2017, pp. 1003-1005, https://doi.org/10.1109/ICPCSI.2017.8391861 .

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