Nonsparsity Influence on the ISAR Recovery from a Reduced Set of Data

نویسنده

  • Ljubiša Stanković
چکیده

The analysis of ISAR image recovery from a reduced set of data presented in [1] is extended in this correspondence to an important topic of signal nonsparsity (approximative sparsity). In real cases the ISAR images are noisy and only approximately sparse. Formula for the mean square error in the nonsparse ISAR, reconstructed under the sparsity assumption, is derived. The results are tested on examples and compared with statistical data. Keywords— Radar imaging, ISAR, noisy signal, sparse signal, compressive sensing

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تاریخ انتشار 2016