文件名称:doa_signal
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低信噪比条件下的高分辨DOA估计算法,提出一种基于多级维纳滤波器(MSWF)的信号波达方向(DOA)估计算法。通过测试信号子空间的估计值与噪声子空间的正交性实
现 DOA粗估计，通过测试MSWF 分解的互相关函数实现信号 DOA 的精估计。仿真实验表明，在低信噪比条件下，该算法比已有的子空
间类算法有更好的分辨率和误差性能。-Put forward a kind of multistage Wiener filter (MSWF) based on the signal direction of arrival (DOA) estimation algorithm. By testing the orthogonality between the estimated values of the signal subspace and the noise subspace
Now DOA coarse estimation, by testing the MSWF decomposition of the cross-correlation function to achieve accurate estimation of signal DOA. Simulation results show that the proposed algorithm is more efficient than the existing subspace in low SNR conditions
The inter class algorithm has better resolution and error performance.
现 DOA粗估计，通过测试MSWF 分解的互相关函数实现信号 DOA 的精估计。仿真实验表明，在低信噪比条件下，该算法比已有的子空
间类算法有更好的分辨率和误差性能。-Put forward a kind of multistage Wiener filter (MSWF) based on the signal direction of arrival (DOA) estimation algorithm. By testing the orthogonality between the estimated values of the signal subspace and the noise subspace
Now DOA coarse estimation, by testing the MSWF decomposition of the cross-correlation function to achieve accurate estimation of signal DOA. Simulation results show that the proposed algorithm is more efficient than the existing subspace in low SNR conditions
The inter class algorithm has better resolution and error performance.
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低信噪比条件下的高分辨DOA估计算法.pdf