'Intersymbol interference (ISI)' is the main factor that affects the performance of digital as well as wireless communication. Linear turbo equalization is a form of joint equalization and decoding in which soft information is iteratively exchanged between the SISO (Soft Input Soft output) equalizer and SISO decoder. Decision feedback equalizers are used in wireless and mobile communications to reduce the intersymbol interference that is caused by the time dispersive channel. SISO equalization is a recently developed technique for combating ISI with a higher degree of computational efficiency even in the presence of high spectral efficiency modulation schemes. An adaptive decision feedback equalizer used for SISO equalizer is presented with a new adaptive algorithm. The algorithm uses sign normalized block-based modified least mean square algorithm and achieves a significant reduction of computational complexity. The proposed algorithm exhibit dramatic bit error rate improvement over a reasonable signal to noise ratio also, it separate reckons of error-computation block and weight-update block for Proakis channels. Comparative analyses of various Adaptive equalizer algorithms for two different frequency scenario are also contemplated. The frequency-domain representation facilitates us to choose step size in an easier way so that the proposed algorithm can converge in mean square perception. Simulation studies show that the proposed realization gives better performance compared to existing conventional analysis methods in terms of bit error rate (BER) and convergence rate.
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Book Details
Publication Year
2019
Dimensions
Width
6
Height
9
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