Hybrid Approach for Channel Estimation Using Iterative Compensation and LMS Algorithm

  • Authors

    • Bhanu Partap
    • Prabhjot Singh
    • . .
    2018-07-07
    https://doi.org/10.14419/ijet.v7i3.8.15214
  • OFDM, Channel Estimation, Equalization, Iterative Compensation, Least Mean Square (LMS).

  • Abstract

    In Orthogonal Frequency Division Multiplexing, the concept of channel equalization and estimation plays a vital role to improve the performance of the system by reducing the effects of distortion in the signals that occurs due to fading, multipath, delay spreads. In this study a hybrid channel estimation technique is developed by collaborating the iterative compensation mechanism with Least Mean Square technique. The performance of the proposed work is observed to be more effective and efficient than the Iterative compensation based channel estimation technique in the terms of Mean Square Error (MSE).

     

     

  • References

    1. [1] Kashyap Rashmi et al (June, 2015) “Equalization Techniques for MIMO Systems in Wireless Communication: A Reviewâ€, IJEAT, Volume-3, Issue-5, pp 260-264

      [2] Dawar Vinay et al (September, 2012) “Reduction in Bit Error Rate from Various Equalization Techniques for MIMO Technologyâ€, IJSCE, Volume-2, Issue-4, pp 66-70

      [3] Wadhwa Parul et al (June, 2013) “BER Analysis & Comparison of Different Equalization Techniques for MIMO-OFDM Systemâ€, IJARCSSE, Volume 3, Issue 6, pp 1682-1688

      [4] T Sanjana et al (January, 2014) “comparison of channel estimation and equalization techniques for ofdm systemsâ€, CSIJ, Vol. 1, No. 1, pp 1-10

      [5] N. Mohaghegh et al (2007) “An Overview On Equalization Techniques for MIMO-OFDM Systemsâ€

      [6] P. Srishtansh et al (March, 2013) “Channel Estimation in OFDM Systemsâ€, IJARCSSE, Volume 3, Issue 3, pp 312-327

      [7] Chouhan Sonika et al (November, 2013) “performance improvement of ofdm system by using ici self cancellation techniquEâ€, IJAREEIE, Vol. 2, Issue 11, pp 5418-5423

      [8] D. Priya (August, 2014) “Channel State Information for Pre-Equalization in MIMOOFDM Systemâ€, International Journal of Computer Applications, Volume 100– No.9, pp 12-14

      [9] Kaur Ramanpreet et al (May,2013) “Bit Error Rate reduction in MIMO systems using Equalization techniquesâ€, IJESIT, Volume 2, Issue 3, pp 36-40

      [10] T. Michael et al (Feb, 2004) “Coherent Detection Method Using DSP for Demodulation of Signal and Subsequent Equalization of Propagation Impairmentsâ€, IEEE photonics technology letters, VOL. 16, NO. 2, pp 674-676

      [11] Deshpande, N et al (August, 2002) “Fast recovery equalization techniques for DTV signalâ€, IEEE Transactions on Volume:43 , Issue: 4, pp 370-377

      [12] Won Gi Jeon et al (January, 1999) “An Equalization Technique for Orthogonal Frequency-Division Multiplexing Systems in Time-Variant Multipath Channelsâ€, IEEE transactions on communications, VOL. 47, NO. 1, pp 27-32

      [13] Bruno S Chang et al (2014) “Widely linear MMSE precoding and equalization techniques for SC-FDE systemsâ€, Springer, 2014/1/124, pp 1-11

      [14] Randhawa Navdeep et al (July, 2014) “An Overview of Adaptive Channel Equalization Techniques and Algorithmsâ€, IJSR, Volume 3 Issue 7, pp 647-651

      [15] Ahmad et al (March, 2012) “Soft-feedback MMSE equalization for non-orthogonal frequency division multiplexing (n-OFDM) signal detectionâ€, IEEE, Smart Antennas (WSA), pp 248 – 255

      [16] M. Tüchler. et al (March, 2002) “Minimum mean squared error equalization using a priori informationâ€, IEEE, Volume:50 , Issue: 3, pp 673 – 683

      [17] P. Sadeghi et al (July, 2014) “Minimum mean square error equalization on the 2-sphereâ€, IEEE, pp 101 – 104

      [18] T. Strohmer et al (June, 2005), “Application of Time-Reversal with MMSE Equalizer to UWB Communicationsâ€, IEEE.

      [19] Klein et al (August, 2002) “Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channelsâ€, IEEE, Volume:45 , Issue: 2 , pp 276-287

      [20] Gupta. B et al (December, 2012) “BER performance improvement in MIMO systems using various equalization techniquesâ€, Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference, pp 190-194

      [21] T. Deepa et al (April, 2013) “Performance analysis of SIMO and MIMO system with equalizationâ€, IEEE, pp 236 – 239

      [22] C. Rodrigo et al (July, 2011) “Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systemsâ€, IEEE, VOL. 60, NO. 6, pp 2482-2494

      [23] Jiang et al (April, 2011) “Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regimeâ€, IEEE, Volume:57 Issue:4

      [24] LiangYang et al (2011) “Cooperative Filter-and-Forward Beamforming for Frequency-Selective Channels with Equalizationâ€, IEEE, Vol:10, Issue:1, pp 228-239

      [25] Falconer et al (April, 2011) “Linear Precoding of OFDMA Signals to Minimize Their Instantaneous Power Varianceâ€, IEEE, Volume:59 Issue:4, pp 1154 – 1162

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  • How to Cite

    Partap, B., Singh, P., & ., . (2018). Hybrid Approach for Channel Estimation Using Iterative Compensation and LMS Algorithm. International Journal of Engineering & Technology, 7(3.8), 34-37. https://doi.org/10.14419/ijet.v7i3.8.15214

    Received date: 2018-07-06

    Accepted date: 2018-07-06

    Published date: 2018-07-07