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Comparison of Channel Equalization Schemes for MIMO-OFDM⋆

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Accelerating Discoveries in Data Science and Artificial Intelligence II (ICDSAI 2023)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 438))

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Abstract

Inter-symbol interference is a major impediment to wireless communication that significantly lowers the data quality. The fundamental objective of the equalization techniques is to reconstruct the actual signal using a filter or other ways and eliminate the impact of ISI in order to guarantee the accuracy of data transmission. Channel equalization is one of the techniques through which the effects of ISI can be greatly reduced and in certain cases be eliminated on the received signal. Extensive research has been done on the relevant techniques with mathematical expressions, and the same has been presented under the section Channel Equalization. In this chapter, we explore the three different channel equalization techniques and study how well they perform to reduce the effects of ISI on the received signal. We analyze ZF, MMSE, and MRC equalization techniques and discover that MRC equalization technique offers very low BER rates as compared to ZF and MMSE techniques.

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Author information

Authors and Affiliations

  1. Sreenidhi Institute of Science and Technology, Hyderabad, Telangana, India

    C. N. Sujatha & M. V. K. Gayatri Shivani

  2. Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India

    V. Padmavathi

  3. Gokaraju Rangaraju Institute of Engineering, Hyderabad, Telangana, India

    K. Swaraja

Authors
  1. C. N. Sujatha
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  2. V. Padmavathi
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  3. M. V. K. Gayatri Shivani
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  4. K. Swaraja
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Editor information

Editors and Affiliations

  1. Information & Decision Sciences, College of Business and Public Administration, California State University, San Bernard, San Bernardino, CA, USA

    Frank M. Lin

  2. Computer & Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA

    Ashokkumar Patel

  3. Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India

    Nishtha Kesswani

  4. Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India

    Bosubabu Sambana

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Sujatha, C.N., Padmavathi, V., Shivani, M.V.K.G., Swaraja, K. (2024). Comparison of Channel Equalization Schemes for MIMO-OFDM⋆. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence II. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 438. Springer, Cham. https://doi.org/10.1007/978-3-031-51163-9_23

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