Turbo Equalization for Unknown Channels: A Semi-Blind Approach
作者： R.D. Souza , J. Garcia-Frias , B.F. Uchoa-Filho
关键词: Speech recognition 、 Equalization (audio) 、 Serial concatenated convolutional codes 、 Turbo code 、 Algorithm 、 Computer science 、 Communication channel 、 Turbo 、 Bit error rate 、 Reduction (complexity) 、 Turbo equalizer
摘要: We present a semi-blind approach to combined detection and turbo decoding for unknown ISI channels. The proposed method utilizes very few training symbols minimizes the probability of ill-convergence characteristic full-blind approaches, even long Furthermore, leads an improved bit error rate performance decrease in overall computational burden when compared with full blind schemes. reduction complexity increases channel length.
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