基于最小冗余线阵的共轭循环ESPRIT算法
CONJUGATE CYCLIC ESPRIT ALGORITHM BY EXPLOITATION OF MINIMUM-REDUNDANCY LINEAR-ARRAYS
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摘要: 本文提出了一种基于最小冗余线阵的共轭循环ESPRIT算法。理论分析和计算机仿真实验均表明:该算法具有良好的DOA估计性能,增大了阵列孔径,抗噪能力强,分辨率高,可以用较少的阵元估计更多的信号源方向。计算机仿真实验验证了算法的有效性,并比较了该算法与共轭循环ESPRIT算法的DOA估计性能。Abstract: In this paper, conjugate cyclic ESPRIT with minimum-redundancy linear-arrays is presented. Theoretical analysis and computer simulation show that the algorithm has better performance, such as extending aperture, being insensitive to noise, having higher resolution, and estimating more sources with fewer sensors. Computer simulation results and comparisons with conjugate cyclic ESPRIT are presented to demonstrate the performance of the proposed algorithm.
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