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Joint-sparse estimation of migration targets with velocity ambiguity

机译:速度模糊度的联合迁移目标稀疏估计

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Range migration is the basic and troublesome problem in moving target detection for wideband radar. In this paper, we propose a joint-sparse estimation algorithm that gives a sparse representation of migration targets with velocity ambiguity. The proposed algorithm utilizes a non-ambiguous representation of the wideband signals to alleviate the velocity ambiguity, then the estimation of the targets scenario is achieved by joint-sparse recovery. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm in case of a multi-target scenario.
机译:距离偏移是宽带雷达运动目标检测中的基本且麻烦的问题。在本文中,我们提出了一种联合稀疏估计算法,该算法给出了具有速度歧义的迁移目标的稀疏表示。所提出的算法利用宽带信号的非模糊表示来减轻速度模糊性,然后通过联合稀疏恢复来实现对目标场景的估计。数值结果表明了该算法在多目标场景下的有效性。

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