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A novel DOA estimation method for closely spaced multiple sources with large power differences

机译:一种新的DOA估计方法,用于大功率差密集的多个源

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The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.
机译:到达方向(DOA)估计是阵列信号处理中的关键问题,并且有许多众所周知的方法,例如,CAPON,音乐,root-Music和文献中的其他DOA估计算法。然而,由于低电源的分辨率劣化,具有大功率差异的紧密间隔多源的有效DOA估计仍然是一个难题。在本文中,提出了一种新的DOA估计方法,称为CAPON-MUSIC算法,其具有更高的分辨率,具有明显的功率差异的紧密间隔的多个来源。最后,提供了一些数值实验以证明所提出的方法的有效性。

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