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DOA estimation for different frequency with different angles based on wideband co-prime array

机译:基于宽带共序列的不同角度的不同频率的DOA估计

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摘要

Most of the signals received in the field of wireless communication, radar, and sonar are wideband, so there is an active research on wideband direction-of-arrival (DOA). Many approaches of DOA estimation for different frequency with same angles have already been proposed, such as off-grid sparse learning via iterative minimisation (OGSLIM). Based on the OGSLIM algorithm, this study proposed frequency group decision strategy (FGDS). Based on the different information of the number of signals at different frequency bins, FGDS can obtain the estimation results of DOA at each frequency bin. The results of simulations demonstrate that the proposed algorithm outperforms other reported ones.
机译:在无线通信,雷达和声纳领域接收的大多数信号都是宽带,因此在宽带方向(DOA)上存在积极的研究。已经提出了许多具有相同角度的不同频率的DOA估计方法,例如通过迭代最小化(OGSLIM)的离网稀疏学习。基于OGSLIM算法,本研究提出了频率组决策策略(FGDS)。基于不同频率箱的信号数的不同信息,FGD可以在每个频率仓处获得DOA的估计结果。仿真结果表明,所提出的算法优于其他报告的算法。

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