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首页> 外文期刊>International Journal of Distributed Sensor Networks >Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter
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Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter

机译:基于多级嵌套维纳滤波器的到达方向估计

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摘要

A novel direction of arrival (DOA) estimation technique based on data level and order recursive Multistage Nested Wiener Filters (MSNWF) which is used in adaptive beamforming for subarray signal is proposed in this paper. The two subarrays using the same array geometry are used to form a signal whose phase relative to the reference signal is a function of the DOA. The DOA is estimated by calculating the phase-shift between the reference signal and its phase-shifted version. The performance of this DOA estimation technique is significantly improved due to the application of order recursive MSNWF for the rejection of interference signals. The computation of the proposed method is simple, and the number of detectable signal sources could exceed the number of antenna elements.
机译:提出了一种基于数据水平和阶次递归多级嵌套维纳滤波器(MSNWF)的到达方向估计技术,用于子阵列信号的自适应波束形成。使用相同阵列几何形状的两个子阵列用于形成信号,其相对于参考信号的相位是DOA的函数。通过计算参考信号与其相移版本之间的相移来估算DOA。由于应用了顺序递归MSNWF来拒绝干扰信号,因此该DOA估计技术的性能得到了显着改善。该方法的计算简单,可检测信号源的数量可能超过天线元件的数量。

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