| Summary: | Translational compensation is one of the key problems in parameter estimation of moving targets and radar imaging, and envelope correction is the basis of translation compensation. However, in inverse synthetic aperture imaging, the traditional translation compensation algorithms cannot be applied to micro-motion targets. Based on the characteristics of micro-motion targets and the advantages of the terahertz radar, a new method of envelope correction for micro-motion targets based on the multi-layer perceptron is proposed in this paper, which is verified by a radar system with a carrier frequency of 330 GHz. The experimental targets adopted in this paper are rotating corner reflectors and precession warhead. Finally, this paper proposes a measure based on inverse Radon transform and compares the performance of the proposed algorithm with that of the previous one, which fully verifies the effectiveness of the proposed method.
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