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A Novel Noise Adjustment Technique for MIMO-OFDM System Based on Fuzzy-Based Adaptive Method

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Recent Findings in Intelligent Computing Techniques

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 708))

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Abstract

In this paper, we have presented the novel noise adjustment technique for MIMO-OFDM system on fast time-varying multipath fading channel using fuzzy-based method. The investigated parameters are bit error rate, size of the antenna, and the types of modulation method. We have proposed the method with respect to Rayleigh fading channel. We have also compared the proposed fuzzy-based adaptive method with the conventional SKF, DKF, and Nonlinear Kalman filter method. In the proposed method, the lowest value of bit error rate is achieved compared to conventional method.

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References

  1. Dalwadi, D.C., Soni, H.B.: A novel channel estimation technique of MIMO-OFDM system based on modified Kalman filter. Indian J. Sci. Technol. 9(36) (2016)

    Google Scholar 

  2. Dalwadi, D.C., Soni, H.B.: A novel discrete spreading scheme with RC filter for PAPR reduction in OFDM system using multiple interleaver. Int. J. Appl. Eng. Res. 10(17), 37806–37812 (2015)

    Google Scholar 

  3. Karami E, Shiva M.: Blind MIMO channel tracking using decision-directed maximum-likelihood estimation. IEEE Trans. Veh. Technol. 56(3) (2007)

    Article  Google Scholar 

  4. Hanzo, L., Akhtman, Y., Wang, L., Jiang, M.: MIMO-OFDM for LTE, Wi-Fi and WiMAX. Wiley

    Google Scholar 

  5. Kalman, R.E.: A new approach to linear filtering and prediction problems. Trans. ASME-J. Basic Eng. 82(Series D), 3545 (1960)

    Google Scholar 

  6. Komninakis, C., Fragouli, C., Sayed, A., Wesel, R.: Multi-input multi-output fading channel tracking and equalization using Kalman estimation. IEEE Trans. Signal Process. 50(5), 1065–1076 (2002)

    Article  Google Scholar 

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Authors and Affiliations

  1. Electronics and Communication Department, Gujarat Technological University, Ahmedabad, India

    Darshankumar C. Dalwadi

  2. G. H. Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India

    Himanshu B. Soni

Authors
  1. Darshankumar C. Dalwadi
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  2. Himanshu B. Soni
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Corresponding author

Correspondence to Darshankumar C. Dalwadi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  3. Department of Computer Engineering and Informatics, University of Patras, Patras, Greece

    Ioannis K. Hatzilygeroudis

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Manmath Narayan Sahoo

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Dalwadi, D.C., Soni, H.B. (2018). A Novel Noise Adjustment Technique for MIMO-OFDM System Based on Fuzzy-Based Adaptive Method. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-10-8636-6_48

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  • DOI: https://doi.org/10.1007/978-981-10-8636-6_48

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8635-9

  • Online ISBN: 978-981-10-8636-6

  • eBook Packages: EngineeringEngineering (R0)

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