Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

Article retrieval

文章檢索

首頁 >> 文章檢索 >> 最新索引

一種基于非線性GPR模型的低壓電力線信道估計算法

來源:電工電氣發布時間:2021-08-18 12:18 瀏覽次數:16

一種基于非線性GPR模型的低壓電力線信道估計算法

李思維,楊國華,柳勇,邢瀟文
(寧夏大學 物理與電子電氣工程學院,寧夏 銀川 750021)
 
    摘 要:針對信號在低壓電力線載波通信信道傳輸的過程中容易受到非線性脈沖噪聲干擾,從而造成信號的頻率選擇性衰落,導致信號誤碼率高的問題,提出了一種改進最小平方-高斯過程回歸 (LS-GPR) 的信道估計算法,并進行了非線性脈沖干擾消除的迭代實驗,在存在脈沖干擾的條件下對算法的誤碼率進行了仿真計算。結果表明,該改進算法能夠較大程度地消除脈沖噪聲所帶來的影響,在低信噪比的情況下有效降低了系統的誤碼率,具有良好的信道估計性能。
    關鍵詞:電力線載波通信;信道估計;高斯過程回歸;脈沖干擾消除
    中圖分類號:TM726     文獻標識碼:A     文章編號:1007-3175(2021)08-0001-05
 
A Channel Estimation Algorithm for Low-Voltage Power Line
Based on Nonlinear GPR Model
 
LI Si-wei, YANG Guo-hua, LIU Yong, XING Xiao-wen
(School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China)
    Abstract: Signals are susceptible to interfered by non-linear impulse noise during transmission in the low-voltage power line carrier communication channel, which could cause signals a frequency selective fading even a high bit error rate. To solve this problem, an improved channel estimation algorithm is proposed in this paper that is based on the improved LS-GPR (Least Square-Gaussian Processes Regression).Iteration experiments of non-linear pulse interference elimination are carried out to test the bit error rate performance of this algorithm under impulse interference. The results indicated that the improved algorithm can eliminate the interference from impulse noise at a large extend,and can effectively decrease the bit error rate under a low signal-to-noise ratio, in short, a good performance on channel estimation.
    Key words: power line carrier communication; channel estimation; Gaussian processes regression; pulse interference elimination
 
參考文獻
[1] OKSMAN V, GALLI S. G.hn :The new ITU-T home networking standard[J].IEEE Communications Magazine,2009,47(10) :138-145.
[2] 鐘菲,劉洋,張學敏,趙紫斐. 基于智能電網的電力線通信技術發展及應用研究[J] . 通信電源技術,2018,35(12) :158-159.
[3] 陸俊,劉振宇,徐志強,朱炎平. 計及接入控制策略的寬帶電力線 OFDM 系統跨層資源分配[J]. 電網技術,2016,40(6) :1858-1866.
[4] 郭鐵梁,李志軍,張文祥. OFDM 水聲通信 CS 限幅失真補償與 LS 信道估計優化算法[J] . 應用聲學,2021,40(2) :287-293.
[5] 謝志遠,陳文,曹旺斌,張子忠. 中壓電力線通信自適應 OFDM 系統背景噪聲抑制技術研究[J]. 電測與儀表,2019,56(24) :21-25.
[6] 孔慧娟. 窄帶低壓電力線信道的阻抗測量與特性分析[J]. 電子測量技術,2012,35(3) :57-61.
[7] 邱上飛,薛倫生,陳西宏. 改進的時頻同步與信道聯合估計方法[J] . 探測與控制學報,2020,42(6) :61-67.
[8] 丁劍飛,孫德春,李兆剛. 基于壓縮感知的電力線脈沖噪聲抑制改進算法[J] . 計算機應用研究,2020,37(S2) :289-290.
[9] 趙聞,張捷,李倩,黨三磊,吳倩文,路韜. MIMO 電力線載波通信中基于壓縮感知的信道與脈沖噪聲聯合估計方法[J] . 通信技術,2020,53(9) :2101-2107.
[10] FANG L, HUANG D.Neumann Series Expansion Based LMMSE Channel Estimation for OFDM Systems[J].IEEE Communications Letters,2016,20(4) :748-751.
[11] KHALID Hassan, ALI Muhammad, AHMED Nisar.Gaussian Process-Based Feature-Enriched Blind Image Quality Assessment[J].Journal of Visual Communication and Image Representation,2021,77(1) :103092.
[12] RASTGOU M, BAYAT H, MANSOORIZADEH M, GREGORY A S.Prediction of Soil Hydraulic Properties by Gaussian Process Regression Algorithm in Arid and Semiarid Zones in Iran[J].Soil & Tillage Research,2021,210(6) :104980.
[13] 廉鈺瑩. 基于 OFDM 的電力線載波通信信道估計[D].吉林:吉林大學,2017.
[14] 鄭建宏,鄧湛. 一種抗脈沖噪聲的寬帶電力線通信系統信道估計算法[J] . 重慶郵電大學學報( 自然科學版),2019,31(1) :44-49.

 

杏仁直播app破解版-杏仁直播app短视频-杏仁直播app直接进入