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Factor-graph-based iterative channel estimation and signal detection algorithm over time-varying frequency-selective fading channels
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作者 赵宏杰 武楠 +2 位作者 王华 李智信 匡镜明 《Journal of Beijing Institute of Technology》 EI CAS 2015年第4期494-500,共7页
The problem of soft-input so,output ( SISO ) detection for time-varying frequency-selec- tive fading channels is considered. Based on a suitably-designed factor graph and the sum-product al- gorithm, a low-complexit... The problem of soft-input so,output ( SISO ) detection for time-varying frequency-selec- tive fading channels is considered. Based on a suitably-designed factor graph and the sum-product al- gorithm, a low-complexity iterative message passing scheme is proposed for joint channel estima- tion, equalization and decoding. Two kinds of schedules (parallel and serial) are adopted in message updates to produce two algorithms with different latency. The computational complexity per iteration of the proposed algorithms grows only linearly with the channel length, which is a significantly de- crease compared to the optimal maximum a posteriori (MAP) detection with the exponential com- plexity. Computer simulations demonstrate the effectiveness of the proposed schemes in terms of bit error rate performance. 展开更多
关键词 factor graph message passing frequency-selective fading channel soft-input soft-out-put (siso detection turbo equalization
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