一种改进的类esprit相干信号估计算法及其在二维DOA估计中的应用

Liguo Liu, Yibing Gai, Haisong Wang, Guowen Ding
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引用次数: 3

摘要

相干信号的到达方向(DOA)估计一直是一个重要的方面,因为它会导致空间协方差矩阵的秩损失。传统的解决方法是使用平滑算法,但最近提出了一种新的方法,该方法在Toeplitz模式中重构空间协方差矩阵,不再受相干性的影响。本文提出了一种基于新技术的改进算法,减少了计算量。最后,提出了一种基于三轴交叉阵的二维相干方位估计方法。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved ESPRIT-like Algorithm for Coherent Signal and Its Application for 2-D DOA Estimation
The direction-of-arrival (DOA) estimation for coherent signal is always an important aspect, because it will cause rank loss of the spatial covariance matrix. The conventional solution is to use smoothing algorithm, but recently a new technique is proposed, which reconstructs the spatial covariance matrix in Toeplitz pattern and no longer be affected by coherency. In this paper, an improved algorithm based the new technique is proposed, which can reduce the computational burden. Finally, a 2-D coherent DOA estimation method using 3-aixs crossed array is suggested. Simulation results are presented to verify the efficacy.
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