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脈沖噪聲下基于相關(guān)熵的相干分布源DOA估計新方法

蔡睿妍,  楊力,  錢楊

蔡睿妍, 楊力, 錢楊. 脈沖噪聲下基于相關(guān)熵的相干分布源DOA估計新方法[J]. 電子與信息學(xué)報, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325
引用本文: 蔡睿妍, 楊力, 錢楊. 脈沖噪聲下基于相關(guān)熵的相干分布源DOA估計新方法[J]. 電子與信息學(xué)報, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325
Ruiyan CAI, Li YANG, Yang QIAN. A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325
Citation: Ruiyan CAI, Li YANG, Yang QIAN. A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2600-2606. doi: 10.11999/JEIT200325

脈沖噪聲下基于相關(guān)熵的相干分布源DOA估計新方法

doi: 10.11999/JEIT200325 cstr: 32379.14.JEIT200325
  • 1.

    大連大學(xué)信息工程學(xué)院 大連 116622

  • 2.

    大連大學(xué)通信與網(wǎng)絡(luò)重點實驗室 大連 116622

基金項目: 國家自然科學(xué)基金(61671105, 61901080)
詳細(xì)信息
    作者簡介:

    蔡睿妍：女，1979年生，副教授，研究方向為陣列信號處理、衛(wèi)星通信

    楊力：女，1982年生，教授，研究方向為空間信息網(wǎng)絡(luò)傳輸技術(shù)、無線通信網(wǎng)絡(luò)協(xié)議理論與方法

    錢楊：男，1994年生，碩士生，研究方向為網(wǎng)絡(luò)資源優(yōu)化

    通訊作者:

    楊力　yangli945@126.com

  • 中圖分類號: TN911.7

A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise

  • 1.

    College of Information Engineering, Dalian University, Dalian 116622, China

  • 2.

    Key Laboratory of Communication and Network, Dalian University, Dalian 116622, China

Funds: The National Natural Science Foundation of China (61671105, 61901080)
  • 摘要: 針對復(fù)雜電磁環(huán)境下被動無線監(jiān)測定位問題，該文提出廣義相關(guān)熵的概念，推導(dǎo)了廣義相關(guān)熵的性質(zhì)，用以抑制陣列輸出信號中的脈沖噪聲。為了實現(xiàn)脈沖噪聲環(huán)境下相干分布源中心DOA和擴(kuò)散角的聯(lián)合估計，提出基于廣義相關(guān)熵的DOA估計新方法，并證明了該方法的有界性。為進(jìn)一步提升算法的魯棒性，推導(dǎo)了一種僅依賴陣列輸出信號的自適應(yīng)核函數(shù)。仿真結(jié)果表明，該算法能夠?qū)崿F(xiàn)脈沖噪聲環(huán)境下相干分布源參數(shù)的聯(lián)合估計，相比已有算法，具有更高的估計精度和魯棒性。
    Abstract: To solve the problem of passive wireless monitoring and positioning in complex electromagnetic environments, a generalized auto-correntropy for suppressing the impulsive noise in the array output signals is proposed and its properties are derived. To obtain the estimates of both central Direction Of Arrival (DOA) and angular spread for coherently distributed sources in the impulsive noise, a novel DOA estimation method based on the generalized auto-correntropy is proposed, and its boundedness is proved. To improve the robustness of the proposed algorithm, a new adaptive kernel function, which only depends on the array output signals, is also derived. The simulation results show that the proposed algorithm can obtain the joint estimation for coherently distributed sources under impulsive noise environments, and has higher estimation accuracy and robustness than existing algorithms.
    • HTML全文

  • 圖  1  不同特征指數(shù)下的算法中心DOA估計性能曲線

    圖  2  不同廣義信噪比下的算法中心DOA估計性能曲線

    圖  3  不同參數(shù)下的算法擴(kuò)散角估計性能曲線

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出版歷程
  • 收稿日期:  2020-04-28
  • 修回日期:  2020-10-19
  • 網(wǎng)絡(luò)出版日期:  2020-10-26
  • 刊出日期:  2020-11-16

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