基于盲源分离的近场源参数估计

Parameter Estimation of Near field Sources Based on Blind Source Separation

  • 摘要: 研究了基于盲源分离的近场源波达角和距离估计问题。首先利用盲源分离方法估计出阵列流形矩阵,然后利用优化算法对波达角和距离参数进行估计。该方法无需频域搜索和参数配对,且未利用Fresnel逼近进行参数估计,适应源信号不在Fresnel区域内的情形。计算机仿真验证了所给算法的有效性。

     

    Abstract: In this paper, the problem of Direction-Of-Arrival (DOA) and range estimation of near-field sources is researched. It is proposed to adopt blind source separation (BSS) method to estimate the array manifold matrix first, and then estimate DOA and range parameters by means of optimization algorithms. The proposed method does not require operations of frequency domain searching and parameter pairing. Besides, the Fresnel approximation is not adopted, so the proposed method can also be applied to cases where sources are not all in the Fresnel region. Its good performance is verified by computer simulation results.

     

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