本文關鍵詞： 寬帶 多輸入多輸出 多導體 電力線載波通信 隨機參數(shù)信道　出處：《電網(wǎng)技術》2017年03期 　論文類型：期刊論文

【摘要】：為研究寬帶多輸入多輸出(multi-input multi-output,MIMO)電力線通信(power line communications,PLC)信道的隨機特性,提出了一種基于多導體的MIMO-PLC隨機參數(shù)信道模型。在建模過程中利用統(tǒng)計分布來表征信道的物理參數(shù),比較分析了參數(shù)隨機且分支不同的MIMO-PLC寬帶信道特征。結果表明,平均信道增益(average channel gain,ACG)服從正態(tài)分布,均方根時延擴展(root mean square delay spread,RMS-DS)服從對數(shù)正態(tài)分布,相干帶寬(coherent bandwidth,CB)和均方根時延擴展成反比;分支數(shù)越多信道頻率選擇性衰落和RMS-DS越大,ACG、CB和信道容量越小;與單輸入單輸出(single-input single-output,SISO)PLC信道相比,MIMO信道的信道容量有較大提升。提出的隨機參數(shù)模型為MIMO-PLC提供了一種具有實用價值的建模方法,該模型對在復雜環(huán)境下MIMO-PLC系統(tǒng)的研究、設計以及工程應用具有重要的指導意義。
[Abstract]:In order to study the stochastic characteristics of wideband multi-input multi-output multi-input multi-output (Mimo) power line communication systems (PLCs) channel, a MIMO-PLC stochastic parameter channel model based on multi-conductors is proposed. In the process of modeling, the physical parameters of the channel are represented by statistical distribution. The characteristics of MIMO-PLC wideband channels with random parameters and different branches are compared and analyzed. The results show that the average channel gain and the root mean square delay spreading mean square delay spread RMS-DSs follow the normal distribution, respectively, and the results show that the average channel gain is obtained from the normal distribution, and the RMS-DSs from the RMS-DSs are obtained from the RMS-DSs. Coherent bandwidth is inversely proportional to root mean square (RMS) delay spread. The more the number of branches, the more the channel frequency selective fading and the larger the RMS-DS, the smaller the channel capacity. Compared with single-input single-output SISO PLC channel, the channel capacity of MIMO-PLC channel is greatly improved. The proposed stochastic parameter model provides a practical modeling method for MIMO-PLC, which studies the MIMO-PLC system in complex environment. Design and engineering application have important guiding significance.
【作者單位】： 華北電力大學電氣與電子工程學院;
【基金】：國家自然科學基金項目(61172075) 中央高�；究蒲袠I(yè)務費專項資金項目(2014XS78)~~
【分類號】：TM73;TN919.3

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本文編號：1523633