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Symbols detection for frequency-selective V-BLAST OFDM systems
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作者 WuXiaojun LiXing WangJilong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第2期418-425,共8页
As the combining form of the orthogonal frequency-division multiplexing (OFDM) technique and the vertical Bell Labs layered space-time (V-BLAST) architecture, the V-BLAST OFDM system can better meet the demand of next... As the combining form of the orthogonal frequency-division multiplexing (OFDM) technique and the vertical Bell Labs layered space-time (V-BLAST) architecture, the V-BLAST OFDM system can better meet the demand of next-generation (NextG) broadband mobile wireless multimedia communications. The symbols detection problem of the V-BLAST OFDM system is investigated under the frequency-selective fading environment. The joint space-frequency demultiplexing operation is proposed in the V-BLAST OFDM system. Successively, one novel half-rate rotational invariance joint space-frequency coding scheme for the V-BLAST OFDM system is proposed. By elegantly exploiting the above rotational invariance property, we derive one direct symbols detection scheme without knowing channels state information (CSI) for the frequency-selective V-BLAST OFDM system. Extensive simulation results demonstrate the validity of the novel half-rate rotational invariance joint space-frequency coding scheme and the performance of the direct symbols detection scheme. 展开更多
关键词 orthogonal frequency-division multiplexing vertical Bell Labs layered space-time architecture symbols detection frequency-selective fading joint space-frequency demultiplexing rotational invariance joint space-frequency coding.
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Evolutionary algorithm based index assignment algorithm for noisy channel
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作者 李天昊 余松煜 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第3期431-435,共5页
A globally optimal solution to vector quantization (VQ) index assignment on noisy channel, the evolutionary algorithm based index assignment algorithm (EAIAA), is presented. The algorithm yields a significant reductio... A globally optimal solution to vector quantization (VQ) index assignment on noisy channel, the evolutionary algorithm based index assignment algorithm (EAIAA), is presented. The algorithm yields a significant reduction in average distortion due to channel errors, over conventional arbitrary index assignment, as confirmed by experimental results over the memoryless binary symmetric channel (BSC) for any bit error. 展开更多
关键词 joint source/channel coding vector quantization index assignment binary symmetric channel.
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