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

Article retrieval

文章檢索

首頁 >> 文章檢索 >> 文章瀏覽排名

一種基于非線性GPR模型的低壓電力線信道估計(jì)算法

來源:電工電氣發(fā)布時(shí)間:2021-08-18 12:18 瀏覽次數(shù):651

一種基于非線性GPR模型的低壓電力線信道估計(jì)算法

李思維,楊國華,柳勇,邢瀟文
(寧夏大學(xué) 物理與電子電氣工程學(xué)院,寧夏 銀川 750021)
 
    摘 要:針對信號(hào)在低壓電力線載波通信信道傳輸?shù)倪^程中容易受到非線性脈沖噪聲干擾,從而造成信號(hào)的頻率選擇性衰落,導(dǎo)致信號(hào)誤碼率高的問題,提出了一種改進(jìn)最小平方-高斯過程回歸 (LS-GPR) 的信道估計(jì)算法,并進(jìn)行了非線性脈沖干擾消除的迭代實(shí)驗(yàn),在存在脈沖干擾的條件下對算法的誤碼率進(jìn)行了仿真計(jì)算。結(jié)果表明,該改進(jìn)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(tǒng)的誤碼率,具有良好的信道估計(jì)性能。
    關(guān)鍵詞:電力線載波通信;信道估計(jì);高斯過程回歸;脈沖干擾消除
    中圖分類號(hào):TM726     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):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(xiàn)
[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(xué)敏,趙紫斐. 基于智能電網(wǎng)的電力線通信技術(shù)發(fā)展及應(yīng)用研究[J] . 通信電源技術(shù),2018,35(12) :158-159.
[3] 陸俊,劉振宇,徐志強(qiáng),朱炎平. 計(jì)及接入控制策略的寬帶電力線 OFDM 系統(tǒng)跨層資源分配[J]. 電網(wǎng)技術(shù),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(bǔ)償與 LS 信道估計(jì)優(yōu)化算法[J] . 應(yīng)用聲學(xué),2021,40(2) :287-293.
[5] 謝志遠(yuǎn),陳文,曹旺斌,張子忠. 中壓電力線通信自適應(yīng) OFDM 系統(tǒng)背景噪聲抑制技術(shù)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(shù),2012,35(3) :57-61.
[7] 邱上飛,薛倫生,陳西宏. 改進(jìn)的時(shí)頻同步與信道聯(lián)合估計(jì)方法[J] . 探測與控制學(xué)報(bào),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(jìn)算法[J] . 計(jì)算機(jī)應(yīng)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(lián)合估計(jì)方法[J] . 通信技術(shù),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(jì)[D].吉林:吉林大學(xué),2017.
[14] 鄭建宏,鄧湛. 一種抗脈沖噪聲的寬帶電力線通信系統(tǒng)信道估計(jì)算法[J] . 重慶郵電大學(xué)學(xué)報(bào)( 自然科學(xué)版),2019,31(1) :44-49.