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光偏振復(fù)用正交頻分復(fù)用系統(tǒng)中基于聯(lián)合近似特征矩陣對(duì)角化-獨(dú)立分量分析的盲均衡算法

馮平興,  魏平,  張洪波

馮平興, 魏平, 張洪波. 光偏振復(fù)用正交頻分復(fù)用系統(tǒng)中基于聯(lián)合近似特征矩陣對(duì)角化-獨(dú)立分量分析的盲均衡算法[J]. 電子與信息學(xué)報(bào), 2015, 37(12): 3041-3045. doi: 10.11999/JEIT150455
引用本文: 馮平興, 魏平, 張洪波. 光偏振復(fù)用正交頻分復(fù)用系統(tǒng)中基于聯(lián)合近似特征矩陣對(duì)角化-獨(dú)立分量分析的盲均衡算法[J]. 電子與信息學(xué)報(bào), 2015, 37(12): 3041-3045. doi: 10.11999/JEIT150455
Feng Ping-xing, Wei Ping, Zhang Hong-bo. Channel-equalization Using Joint Approximate Diagonalization of Eigen-matrices-independent Component Analysis in Polarization Division Multiplexed in Optical OFDM Systems[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3041-3045. doi: 10.11999/JEIT150455
Citation: Feng Ping-xing, Wei Ping, Zhang Hong-bo. Channel-equalization Using Joint Approximate Diagonalization of Eigen-matrices-independent Component Analysis in Polarization Division Multiplexed in Optical OFDM Systems[J]. Journal of Electronics & Information Technology, 2015, 37(12): 3041-3045. doi: 10.11999/JEIT150455

光偏振復(fù)用正交頻分復(fù)用系統(tǒng)中基于聯(lián)合近似特征矩陣對(duì)角化-獨(dú)立分量分析的盲均衡算法

doi: 10.11999/JEIT150455 cstr: 32379.14.JEIT150455
  • 1.

    (電子科技大學(xué)電子工程學(xué)院 成都 611731) ②(電子科技大學(xué)通信工程學(xué)院 成都 611731)

基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(11176005)

Channel-equalization Using Joint Approximate Diagonalization of Eigen-matrices-independent Component Analysis in Polarization Division Multiplexed in Optical OFDM Systems

  • 1.

    (School of Electronic Engineering,University of Electronic Science and Technology of China, Chengdu 611731, China)

  • 2.

    (School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

Funds: 

The National Natural Science Foundation of China (11176005)

  • 摘要: 該文提出一種在光偏振復(fù)用正交頻分復(fù)用(PDM-OOFDM)系統(tǒng)中基于聯(lián)合近似特征矩陣對(duì)角化-獨(dú)立分量分析(JADE-ICA)的盲解偏振復(fù)用算法。在傳統(tǒng)的偏振復(fù)用系統(tǒng)中，恒模算法(CMA)被用于解偏振復(fù)用信號(hào)。然而，該方法需要多次對(duì)CMA濾波器系數(shù)更新，CMA收斂時(shí)間較長(zhǎng)，并且CMA算法解偏振復(fù)用可能導(dǎo)致奇異性問(wèn)題。該文結(jié)合對(duì)經(jīng)典ICA算法及其模型的分析，提出將JADE-ICA算法用于PMD-OOFDM系統(tǒng)中進(jìn)行解偏振復(fù)用信號(hào)。利用該方法，可以分離在發(fā)送端和接收端混有高斯白噪聲的偏振信號(hào)成分，并且提高了系統(tǒng)中偏振信號(hào)的分離性能；同時(shí)，避免了傳統(tǒng)CMA在解偏振復(fù)用中的奇異性問(wèn)題。仿真結(jié)果表明，該文方法可以有效分離PMD-OOFDM系統(tǒng)中的偏振信號(hào)。
    Abstract: In this study, a complex-valued Joint Approximate Diagonalization of Eigen-matrices (JADE)- Independent Component Analysis (JADE-ICA) algorithm is proposed for the Polarization Division Multiplexed in Optical Orthogonal Frequency Division Multiplexing (PDM-OOFDM) systems. Generally, the Constant Modulus Algorithm (CMA) method is used to devise polarization signals in PDM-OOFDM systems. However, this method requires multiple filter coefficients update on CMA, needs more time to converge, and lead it to the polarization multiplexing singularity problem. In this paper, a method based on JADE-ICA algorithm is applied to the PDM-OOFDM systems. With this method, the signals can be separated at the sending and the receiving, which mixed with white Gaussian noise polarization components. Moreover, it improves the separation performance of the system with respect to the polarization signal, while avoiding the traditional CMA polarization multiplexing in the solution of the singularity. Simulations demonstrate the effectiveness of the proposed method to devise signals of polarization in PDM-OOFDM systems.
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出版歷程
  • 收稿日期:  2015-04-20
  • 修回日期:  2015-08-11
  • 刊出日期:  2015-12-19

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