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空間稀疏角域以及多普勒域下的DOA估計

Direction-of-arrival estimation under spatial sparse angular and Doppler domains

  • 摘要: 提出可在稀疏角域以及多普勒域下對天線陣列信號向量進行接收和分析的方法,討論在多普勒頻域范圍內的DOA估計問題,并在有效的頻帶范圍內提取信號沖激響應較大的值.在稀疏DOA的恢復過程中采用的是L2,0估計算法,并在多路天線頻譜感知的架構下充分利用DOA所固有的稀疏特性,對其進行稀疏恢復.對于在測試環境中不可避免的噪聲問題,分析三種不同噪聲分布下的DOA估計誤差問題.仿真結果顯示頻域范圍內的L2,0-DOA估計算法具有較低的計算復雜度和較高的準確度,并且算法對噪聲不敏感,魯棒性較高.

     

    Abstract: The method of receiving the antenna array vector was proposed under the sparse angle domain and Doppler domain.The direction-of-arrival(DOA) estimation problem in the Doppler frequency domain was discussed to extract the relatively large impulse response at the band's effective range. The L2,0 estimation algorithm was used in the recovery process of DOA estimation,which took full advantage of the inherent sparse characteristics of DOA under the architecture of multi-antenna spectrum sensing. As for the unavoidable noise problem in the testing environment,the mean square error of DOA estimation was also analyzed for different noise distributions. Simulation results show that the computational complexity of the L2,0-DOA estimation algorithm in the frequency domain is low and the accuracy is high. Besides,the proposed method is not sensitive to noise and has high robustness.

     

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