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2D ISAR imaging scheme in complex baseband echo domain based on compressive sensing

机译:基于压缩检测的复杂基带回波域中的2D ISAR成像方案

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摘要

Compressive sensing (CS) theory asserts that one can recover original signals from far fewer random samples under the condition of sparse signals. In this paper, CS technique is applied to ISAR imaging. An imaging scheme based on far fewer random samples in ISAR complex baseband echo domain is proposed. Joint 2D imaging processing without translational motion compensation can be achieved. The data rate and complexity of radar imaging system can be effectively reduced. The effectiveness of the imaging scheme is tested through processing simulated data.
机译:压缩感测(CS)理论断言,在稀疏信号的条件下,可以在较少的随机样本中恢复原始信号。 在本文中,CS技术应用于ISAR成像。 提出了一种基于ISAR复合基带回波域中的随机样本的成像方案。 可以实现没有平移运动补偿的关节2D成像处理。 可以有效地减少雷达成像系统的数据速率和复杂性。 通过处理模拟数据测试成像方案的有效性。

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