基于二次差分概率的无线信道估计方法  被引量:1

Radio channel estimation method based on quadratic differentials probability

在线阅读下载全文

作  者:王立姣 杜薇薇[1] 李凡[1] 王智森[1] 

机构地区:[1]大连工业大学信息科学与工程学院,辽宁大连116034

出  处:《电信科学》2017年第1期34-44,共11页Telecommunications Science

摘  要:5G具有高速率和大带宽的特性,使得无线信号在时域和频域的衰落更加明显。随着差分值统计步长和空间采样间隔的增大,采用差分概率信道估计方法已无法跟踪深衰落区域,且峰值区域跟踪过度。针对以上问题提出一种二次差分概率的信道估计方法。该方法首先找到衰落曲线的谷值点和峰值点,然后通过二次差分概率对深衰落区域和峰值区域的估计差分值进行改善,最后利用差分运算得到估计增益。仿真实验结果表明,此方法有效地提高了整体的跟踪性能,并降低了跟踪误差。The fifth generation (5G) mobile communication technology has the characteristics of high speed and large bandwidth, which makes the fading of radio signal in time domain and frequency domain more obviously. With the increase of differential values statistical step and the spatial sampling interval, the channel estimation method based on the differential probability can't track the deep fading area and the peak area was over-tacked. In view of the above problems, a channel estimation method based on quadratic differentials probability was proposed. Firstly, the valley point and peak point of the fading curve were found. Then, the estimated differential values of deep fading area and peak area were improved by quadratic differential probability. Finally, the estimated gains were obtained by the difference operation. Simulation results show that, this method can improve the whole tracking performance effectively and reduce the tracking error.

关 键 词:5G 移动无线信道 信道估计 差分概率 二次差分 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象