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Turbo equalization of convolutional coded and concatenated space time trellis coded systems using radial basis function aided equalizers

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3 Author(s)
Yee, M.S. ; Dept. of Electr. & Comput. Sci., Southampton Univ., UK ; Yeap, B.L. ; Hanzo, L.

A reduced-complexity radial basis function (RBF) aided neural-network based turbo equalization (TEQ) scheme is proposed for employment in a serially concatenated convolutional coded and systematic space time trellis coded (CC-SSTTC) arrangement. A two-path Rayleigh fading channel having a normalised Doppler frequency of 3.3615×10 -5 was used. The BER performance of the RBF-CC-SSTTC(4,4) scheme employing a transmission burst consisting of 100 symbols using a space-time-trellis (STT) interleaver of at least 400 symbols and eight turbo equalization iterations was found to be similar to that of the CC-SSTTC system using a trellis-based TEQ, which attains the optimum performance. However, the Jacobian RBF based TEQ provided a complexity reduction factor of 14

Published in:

Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th  (Volume:2 )

Date of Conference:

2001

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