基于贝叶斯原理的放大转发中继联合信道估计

发布时间：2018-05-27 01:12

本文选题：放大转发 + 联合信道估计　；参考：《国防科技大学学报》2014年01期

【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。
[Abstract]:Under the framework of Bayesian principle, the prior knowledge of probability density distribution is combined with the training sequence of the receiver according to the characteristic that the joint channel of amplifying and forwarding relay is equivalent to the superposition of the two segments of Rayleigh channel. Two estimation methods, minimum mean square and maximum posteriori, are obtained. Because the exact Bayesian CRB of the two methods is difficult to solve to obtain the closed expression, based on the maximum entropy principle and the properties of complex Gao Si distribution, the approximate Bayesian CRB corresponding to the MLE criterion is derived to measure the estimation accuracy of different methods. The simulation results show that compared with the original MLE method, the performance of the maximum posteriori estimation method is significantly improved at low SNR.
【作者单位】：国防科技大学电子科学与工程学院;北京系统工程研究所信息系统安全技术国防重点实验室;
【分类号】：TN911.23

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