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Inverse synthetic aperture radar (ISAR) imaging plays an important role in aerial target identification. However, traditional ISAR methods are based on rigid body dynamics, which cannot depict micro-moving parts, such as the rotating propellers of an aircraft. In this study, a novel wideband radar imaging algorithm is proposed to identify rapidly rotating objects. The proposed algorithm contains two key steps: the first involves the establishment of the algebraic equations based on the high-resolution range profile series. The second step consists of a solution for these equations, for which the authors provide the steepest descent iterative method as well as several improvements to enhance imaging quality. A few necessary preprocesses and potential challenging scenarios are also considered. The results are used from simulations and field data to exhibit the effectiveness and advantages of the proposed algorithm.

Inverse synthetic aperture radar (ISAR) imaging is a useful method of target identification in radar detection. However, rapidly rotating parts, such as propellers and blades on aircrafts, cannot be focused by conventional imaging algorithm. In this paper, we introduce a novel method for imaging rapidly rotating targets by wideband radar. This method is an algebraic method which is based on building and solving equations. Simulations are presented to demonstrate the effectiveness of these methods.

Micro motion is a common phenomenon in radar detection. Although In ISAR imaging, micro-motion parts attached to target always have an impact on the quantity of the image. In this passage we put forward a method to remove the effect of micro-Doppler phenomenon in the range profile sequences. This method is based on Inverse-Radon transformations and can achieve clear image of rigid body of target. In the end, we test this method by simulation in Matlab.