The performance of the algorithm for estimating the azimuth angle using data matrix fitting in the frequency domain

Xueyang Zhang, Jeong-min Seo, Joon-Ho Lee
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Abstract

This paper shows the extension of Data matrix fitting-based Direction-of-Arrival (DOA) algorithm from the time domain to the frequency domain. We show that it is possible to implement Data matrix fitting-based DOA algorithm in the frequency domain and the estimation performance is superior to the DOA estimation algorithm in which no compressive sensing is applied to sinusoidal incident signals.
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分析了该算法在频域数据矩阵拟合估计方位角的性能
本文将基于数据矩阵拟合的DOA算法从时域扩展到频域。我们证明了在频域中实现基于数据矩阵拟合的DOA算法是可能的,并且估计性能优于不应用压缩感知的正弦入射信号的DOA估计算法。
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