本文選題：電力通信 + 正交頻分復(fù)用��； 參考：《電子科技大學(xué)》2016年碩士論文

【摘要】：隨著電網(wǎng)智能化的發(fā)展以及電氣設(shè)備的普及,脈沖噪聲對電力通信系統(tǒng)的影響變得日益嚴(yán)重。電力通信中脈沖噪聲的研究越來越深入,但對脈沖噪聲的抑制尚未形成有效處理機(jī)制。本文以IEEE 802.22無線區(qū)域網(wǎng)(WRAN)與IEEE 1901.2兩種具有代表性的電力通信標(biāo)準(zhǔn)為背景,對脈沖噪聲處理方法展開研究。IEEE 802.22與IEEE 1901.2物理層均采用正交頻分復(fù)用(OFDM)作為調(diào)制方式,因此本文將對基于OFDM技術(shù)的電力數(shù)字通信系統(tǒng)展開研究,深入分析脈沖噪聲對系統(tǒng)的影響以及抑制方法。現(xiàn)將論文完成的工作總結(jié)如下:(1)研究了電力線通信和WRAN通信的脈沖噪聲特點(diǎn),深入研究了脈沖噪聲的三種統(tǒng)計模型:高斯模型Bernoulli-Gaussian、非高斯模型Middleton A類和基于電力線工頻的KATA模型。對模型的數(shù)學(xué)表達(dá)和參數(shù)特點(diǎn)進(jìn)行了詳細(xì)地解析,仿真了噪聲模型的時域序列和統(tǒng)計分布,并將噪聲模型移植到仿真平臺的信道模塊中。(2)針對WRAN通信中時域非線性處理帶來的波形失真問題,提出了Blanking非線性聯(lián)合硬判決反饋補(bǔ)償?shù)拿}沖噪聲抑制算法。首先,介紹了Blanking和Clipping兩種傳統(tǒng)的非線性處理的脈沖噪聲抑制方法,詳細(xì)推導(dǎo)和修正了在Bernoulli-Gaussian模型下這兩種抑制方法的SNR增益,得到了最優(yōu)門限。根據(jù)OFDM的技術(shù)特點(diǎn)與Blanking處理的理論分析,提出了時頻聯(lián)合抑制算法。該算法最大特點(diǎn)是能抑制不同功率的脈沖噪聲,同時還能補(bǔ)償Blanking處理帶來的波形失真,大幅提高了系統(tǒng)的抗干擾性能。(3)研究了PLC系統(tǒng)中基于交織技術(shù)的噪聲處理方法。在IEEE 1901.2的基礎(chǔ)上,利用FFT并行數(shù)據(jù)處理的特點(diǎn),進(jìn)行了兩個方面的系統(tǒng)改進(jìn)。首先,在接收信號解調(diào)前進(jìn)行噪聲預(yù)處理,引入限幅算法,這里主要是防止脈沖噪聲隨著FFT和塊交織將噪聲擴(kuò)散到系統(tǒng)中,減少脈沖噪聲的影響。其次,在IEEE 1901.2標(biāo)準(zhǔn)下的頻域交織的基礎(chǔ)上再加入時域交織算法,形成雙重交織,能充分的將脈沖噪聲白化,從而實現(xiàn)性能優(yōu)化。
[Abstract]:With the development of intelligent power grid and the popularization of electrical equipment, the impact of impulse noise on power communication system becomes more and more serious. The research of impulse noise in power communication is more and more in-depth, but the suppression of pulse noise has not yet formed an effective processing mechanism. In this paper, based on the two typical power communication standards of IEEE 802.22 wireless area network (WRAN) and IEEE 1901.2, the pulse noise processing methods are studied. Both IEEE 802.22 and IEEE 1901.2 physical layer adopt orthogonal frequency division multiplexing (OFDM) as modulation mode. Therefore, in this paper, the power digital communication system based on OFDM technology will be studied, and the influence of impulse noise on the system and the suppression method will be analyzed. In this paper, the following work is summarized as follows: 1) the characteristics of impulse noise in power line communication and Wran communication are studied, and three statistical models of impulse noise are studied in depth: Bernoulli-Gaussianmodel Gao Si model, non-Gao Si model Middleton A model and Kata model based on power line power frequency. The mathematical expression and parameter characteristics of the model are analyzed in detail, and the time series and statistical distribution of the noise model are simulated. The noise model is transplanted to the channel module of the simulation platform. Aiming at the waveform distortion caused by nonlinear processing in time domain in Wran communication, a Blanking nonlinear combined hard decision feedback compensation algorithm for impulse noise suppression is proposed. Firstly, two traditional nonlinear methods for impulse noise suppression are introduced, such as blanking and clipping. The SNR gain of these two methods is deduced and modified in detail under Bernoulli-Gaussian model, and the optimal threshold is obtained. According to the technical characteristics of OFDM and the theoretical analysis of Blanking processing, a joint time-frequency suppression algorithm is proposed. The main characteristic of this algorithm is that it can suppress the pulse noise of different power and compensate the waveform distortion caused by Blanking processing. The anti-jamming performance of the system is greatly improved.) the noise processing method based on interleaving technology in PLC system is studied. On the basis of IEEE 1901.2, two aspects of system improvement are carried out by using the characteristics of parallel data processing. Firstly, noise preprocessing is performed before demodulation of received signals, and an amplitude limiting algorithm is introduced. The main purpose is to prevent impulse noise from spreading into the system with FFT and block interleaving, so as to reduce the influence of pulse noise. Secondly, on the basis of frequency domain interleaving in IEEE 1901.2 standard, the interleaving algorithm in time domain is added to form double interleaving, which can fully whiten the pulse noise and realize the performance optimization.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TM73;TN911.4

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