Performance Optimization in Wireless Channel Using Adaptive Fractional Space CMA
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 9
Abstract
In many high-data-rate band limited digital communication systems, the transmission of a training sequence is either impractical or very costly in terms of data throughput. Conventional LMS adaptive filters depending on the use of training sequences cannot be used. For this reason, blind adaptive channel equalization algorithms that do not rely on training signals have been developed. Using these “blind” algorithms, individual receivers can begin self-adaptation without transmitter assistance We present in this paper an 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. Also we presented multi channel LTI representation of LTV channel.
Authors and Affiliations
Pradyumna kumar mohapatra, Pravat Ku. Dash, Jibanananda Mishra, Sunil Kumar Bisoi
Keywords
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