| Factor-graph-based iterative channel estimation and signal detection algorithm over time-varying frequency-selective fading channels |
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| 作者姓名： | 赵宏杰 武楠 王华 李智信 匡镜明 |
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| 作者单位： | School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China,School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China,School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China,School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China,School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China(61201181); Specialized Research Fund for the Doctoral Program of Higher Education(20121101120020); the Co-innovation Laboratory of Aerospace Broadband Network Technology |
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| 摘 要： | The problem of soft-input soft-output (SISO) detection for time-varying frequency-selective fading channels is considered. Based on a suitably-designed factor graph and the sum-product algorithm, a low-complexity iterative message passing scheme is proposed for joint channel estimation, 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 decrease compared to the optimal maximum a posteriori (MAP) detection with the exponential complexity. Computer simulations demonstrate the effectiveness of the proposed schemes in terms of bit error rate performance.
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| 关 键 词： | factor graph message passing frequency-selective fading channel soft-input soft-output (SISO) detection turbo equalization |
| 收稿时间： | 2014/3/28 0:00:00 |
Factor-graph-based iterative channel estimation and signal detection algorithm over time-varying frequency-selective fading channels |
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| ZHAO Hong-jie,WU Nan,WANG Hu,LI Zhi-xin and KUANG Jing-ming.Factor-graph-based iterative channel estimation and signal detection algorithm over time-varying frequency-selective fading channels[J].Journal of Beijing Institute of Technology,2015,24(4):494-500. |
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| Authors: | ZHAO Hong-jie WU Nan WANG Hu LI Zhi-xin and KUANG Jing-ming |
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| Affiliation: | School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | The problem of soft-input soft-output (SISO) detection for time-varying frequency-selective fading channels is considered. Based on a suitably-designed factor graph and the sum-product algorithm, a low-complexity iterative message passing scheme is proposed for joint channel estimation, 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 decrease compared to the optimal maximum a posteriori (MAP) detection with the exponential complexity. Computer simulations demonstrate the effectiveness of the proposed schemes in terms of bit error rate performance. |
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| Keywords: | factor graph message passing frequency-selective fading channel soft-input soft-output (SISO) detection turbo equalization |
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