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A Microwave Coincidence Imaging Method for Complex Target Based on Sparse Representation

机译:基于稀疏表示的复杂目标微波重合成像方法

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Microwave coincidence imaging (MCI) has great potential in super-resolution imaging realms, which has achieved a superior performance for sparse targets. However, its performance for complex target will degrade severely due to the weak sparsity. In this paper, the sparse representation method is applied to MCI and a reconstruction-based imaging method for complex target is proposed. Numerical experiments illustrate the validity of proposed method.
机译:微波符合成像(MCI)在超分辨率成像领域具有巨大的潜力,它在稀疏目标方面取得了卓越的性能。但是,由于稀疏性较弱,它对复杂目标的性能将严重下降。本文将稀疏表示方法应用于MCI,提出了一种基于重构的复杂目标成像方法。数值实验证明了该方法的有效性。

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