Least Mean Square (LMS) Adaptive Line Enhancer (ALE) Design for Modern Communication
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
The (LMS) Least Mean Square adaptive filter is a well behaved signal processing algorithm is used in applications where a system to adapt to its environment. Blocks of the system including the direct, transposed and hybrid forms are examined in terms of the following parameters:, power , speed consumption and FPGA resource usage. The hybrid and transposed forms, are derived from the delayed LMS, allow for high speeds without significant increases in area or power. Results for both these adaptations are independent of filter length with the maximum speed of the 16 tap transposed form being over 4 times higher than the speed of a 16 tap direct form implementation. For the FPGA implementation, the transposed form is optimal, as area and power are not significantly higher than values found for the direct form, despite the higher maximum frequency. The new one algorithm given good results even when noise is greater than signal which is considered a good achievement in the field. It eliminatess the drawbacks of LMS algorithm introduced by widrow and others. The (ALE) adaptive line enhancer design method updates the FIR filter coefficients in terms of the exact value of gradient and a variable step size. At high numbers of taps, the maximum frequency of the transposed form is not degraded, despite the input data paths driving an more no. of multipliers.
Authors and Affiliations
S. Suchitra , Dr. N. Shanmugasundaram
Keywords
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- EP ID EP23767
- DOI http://doi.org/10.22214/ijraset.2017.4060
- Views 299
- Downloads 8
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