FPGA based least mean square algorithm for noise cancellation in communication system

  • Authors

    • Praveen Reddy
    • Dr Baswaraj Gadgay
    2018-05-31
    https://doi.org/10.14419/ijet.v7i2.32.15588
  • Least Mean Square (LMS) Algorithm, Distributed Algorithm (DA), Adaptive Filter, Field Programmable Gate Array(FPGA), Throughput, Efficiency, Convergence Rate, Power Analysis, Look Up Table(LUT), Convergence Matrix, Interference Signal.

  • Abstract

    We present modified Distributed Arithmetic (DA) based architecture for LMS Adaptive filter which has improved the throughput of the filter also area and power has been comparatively been reduced. As we know, the adaptive filter uses continuous recalculation and generation of new coefficients will generate the negative effect on the use of algorithm. We have used a special temporary LUT addressing technique has overcome the issues resulting in better performance and good results. In this paper, we have discussed about the adaptive filter and implementation of DA adaptive filter and also discussed the results obtained from the design. Comparison with traditional de-sign has also been done to show the effectiveness of the algorithm.

     

     


     

  • References

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  • How to Cite

    Reddy, P., & Baswaraj Gadgay, D. (2018). FPGA based least mean square algorithm for noise cancellation in communication system. International Journal of Engineering & Technology, 7(3.3), 165-167. https://doi.org/10.14419/ijet.v7i2.32.15588

    Received date: 2018-07-13

    Accepted date: 2018-07-13

    Published date: 2018-05-31