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FPGA Implementation of Fractionally Spaced Adaptive Equalizer using 16QAM Receiver

In recent years, many equalization techniques have been studied such as Fractionally Spaced Adaptive Equalizer, Blind Equalization, Decision-Feedback Equalization, Linear Phase Equalizer and Symbol spaced Equalizer, but Fractionally Spaced Adaptive Equalizer is the best technique to compensate the distortions and mainly the inter-symbol interference and it show fast convergence. The Bit Error Rate is also applaudable. The Fractionally Spaced Adaptive Equalizer provides better results over Conventional Equaliser. So it is used for channel estimation. Any digital signal gets distorted when passed through a medium during the process of communication. An equalizer is used to null the effect of this distortion. A proposed Fractionally Spaced Adaptive Equalizer is implemented using MATLAB and Sys Generator. By the results obtained from the thesis, it has been concluded that proposed Fractionally Spaced Adaptive Equalizer takes less space as well as consume less power. By comparing the constellation diagrams of both the equalizers, it has been observed that the constellation diagram of the proposed Fractionally Spaced Adaptive Equalizer is more concentrated and clear but Conventional Equalizer gives most widely distributed output. The eye pattern of FSE is also clear and shows more efficiency. Also, for a given value of Signal-to-Ratio, the Bit Error Rate of proposed Fractionally Spaced Adaptive Equalizer is less. It uses LMS algorithm instead of RLS algorithm. LMS algorithm is slower than RLS but it has more efficiency as well as it gives an output that is easily achievable. Proposed Fractionally Spaced Adaptive Equalizer shows better performance in case of convergence too. FSE can also be used with all other type of modulations techniques like BPSK , QPSK, etc.