Performance Analysis and Coding of Blind Adaptive Fractional – Space Constant Modulus Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
in bandwidth-efficient digital transmission, adaptive algorithm is widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, high definition television (hdtv) set-top cable demodulators, noninvasive medical diagnosis, geophysical exploration and image enhancement and recognition and so on. One of the most important and prevalent adaptive algorithms is the lms algorithm. We present in this paper a multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the standard fractionally spaced cma (constant modulus algorithm) equalizer in the presence of noise, we show that cma local minima exist near the minimum mean-square error (mmse) equalizers. Consequently, fractional spaced cma may converge to a local minimum corresponding to a poorly designed mmse receiver with considerable large mean-square error. The step size in the lms algorithm decides both the convergence speed and the residual error level, the highest speed of convergence and residual error level.
Authors and Affiliations
Jaswant . , Sanjeev Dhull
Keywords
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