| 基于贝叶斯原理的放大转发中继联合信道估计 |
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| 引用本文： | 刘海滨,王梓斌,郑林华,袁福.基于贝叶斯原理的放大转发中继联合信道估计[J].国防科技大学学报,2014,36(1):88-92. |
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| 作者姓名： | 刘海滨 王梓斌 郑林华 袁福 |
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| 作者单位： | 空间通信教研室 |
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| 摘 要： | 在贝叶斯原理的框架下,依据放大转发中继联合信道等价于两段瑞利信道相叠加的特征,将其概率密度分布这一先验知识与接收端的训练序列相结合,得到了最小均方和最大后验两种估计方法。由于两种方法的准确贝叶斯CRB难以求解获得闭合表达式,从最大熵原理出发,结合复高斯分布性质,推导了MLE准则下的CRB相对应的近似贝叶斯CRB,以衡量不同方法的估计精度。仿真结果表明相比于原有的MLE方法,最大后验估计方法在低信噪比下性能改善明显。
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| 关 键 词： | 放大转发 联合信道估计 贝叶斯原理 |
| 收稿时间： | 2013/4/28 0:00:00 |
Cascade Channel Estimators of Amplify-and-Forward Relaying System Based on Bayesian Theory |
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| LIU Haibin,WANG Zibin,ZHENG Linhua and YUAN Fu.Cascade Channel Estimators of Amplify-and-Forward Relaying System Based on Bayesian Theory[J].Journal of National University of Defense Technology,2014,36(1):88-92. |
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| Authors: | LIU Haibin WANG Zibin ZHENG Linhua and YUAN Fu |
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| Institution: | 1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;2. Science and Technology on Information System Security Laboratory, Beijing Institute of System Engineering, Beijing 100101, China;1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | This paper deals with cascade channel estimation of Amplify-and-Forward (AF) relay system using Bayesian framework. According on maximum a posteriori (MAP) and minimum mean of square error (MMSE) rules, two estimators are derived combining the received training signal with the probability distribution function (PDF) knowledge that cascade channel comprises two independent Rayleigh channels. Due to the intractability of exact Bayesian Cramer-Rao Bound (CRB), alternatively, the approximated Bayesian one is obtained based on the principle of maximum entropy to compare with the CRB of MLE. Numeral simulation demonstrates that the new MAP estimator presents significantly improved performance, especially in the low signal-to-noise ratio regime. |
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| Keywords: | Amplify-and-Forward (AF) Relay Cascade channel estimation Bayesian Theory |
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