|
|||||
|
|
| 基于Gram-Schmidt正交法的电力线背景噪声建模 | |
| 引用本文： | 郭昊坤,应展烽,吴军基,刘伯阳,衡思坤.基于Gram-Schmidt正交法的电力线背景噪声建模[J].电力系统通信,2012,33(3):1-4. |
| 作者姓名： | 郭昊坤 应展烽 吴军基 刘伯阳 衡思坤 |
| 作者单位： | 1. 南京理工大学能源与动力工程学院,江苏南京,210094 2. 天津大唐国际盘山发电有限公司,天津,301900 3. 连云港供电公司,江苏连云港,222000 |
| 基金项目： | 国家电网公司科技项目(2011LY226090424);南京理工大学科研启动基金项目,南京理工大学大学生课外学术科研基金项目 |
| 摘 要： | 噪声干扰是影响电力线通信可靠性的最主要因素之一。文章建立了实测背景噪声的AR模型,提出用Gram-Schmidt正交法进行模型参数求解,并与奇异值分解法、LD递推法所得结果进行仿真比较。结果表明:Gram-Schmidt正交法所得结果精确度与奇异值分解法所得结果相近,且计算时间较短,模型较简单,在背景噪声的离线计算及在线生成中均可广泛应用。 |
| 关 键 词： | 电力线通信 背景噪声 AR模型 Gram-Schmidt正交法 奇异值分解法 |
Modeling of Background Noise in Power Line Communication Channel Based on Gram-Schmidt Orthogonal Method |
|
| GUO Hao-kun , YING Zhan-feng , WU Jun-ji , LIU Bo-yang , HENG Si-kun.Modeling of Background Noise in Power Line Communication Channel Based on Gram-Schmidt Orthogonal Method[J].Telecommunications for Electric Power System,2012,33(3):1-4. | |
| Authors: | GUO Hao-kun YING Zhan-feng WU Jun-ji LIU Bo-yang HENG Si-kun |
| Affiliation: | 1.School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China; 2.Tianjin Datang International Panshan Power Generation Co.,Tianjin 301900,China; 3.Lianyungang Power Supply Company,Lianyungang 222000,China) |
| Abstract: | Noise interference is one of the most important factors which affect power line communication reliability.In this paper,the AR model of the measured background noise is set up.It proposes to use Gram-Schmidt orthogonal method for solving the model parameters and to compare with the results of the singular value decomposition and LD recursive method.The results show that: the accuracy of the results obtained by using Gram-Schmidt orthogonal is similar to that obtained by the singular value decomposition method.In addition,the computing time is shorter and the model is relatively simpler by using Gram-Schmidt orthogonal.It can be widely used in the background noise generated offline and online calculations. |
| Keywords: | power line communication back noise AR model Gram-Schmidt orthogonal method singular value decomposition LD recursive method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |