Synthetic aperture through-the-wall radar multipath false target elimination method based on multi-imaging dictionary

Abstract

The invention discloses a synthetic aperture through-the-wall radar multipath false target elimination method based on a multi-imaging dictionary, and is applied to the technical field of synthetic aperture through-the-wall radar primary multipath suppression. Firstly, a target direct echo dictionary and a multipath false target dictionary are established according to the structural features of the building, the position of the through-the-wall radar to the front wall and each reflection path echo; secondly, back projection imaging is performed on the echo data by using the target direct echo dictionary and the multipath false target dictionary so as to obtain a target space image and a multipath false target space image; and finally, incoherent fusion of the target space image and the multipath false target space image is performed so as to realize suppression of the primary multipath false target in the building. Compared with the methods in the prior art, the complexity is lower, and the multipath suppression effect is great.

Description

technical field [0001] The invention belongs to the technical field of primary multipath suppression of synthetic aperture through-wall radar, and in particular relates to a false target elimination technology for primary multipath suppression of synthetic aperture through-wall radar. Background technique [0002] When the through-wall radar system is used to detect concealed targets in enclosed spaces, the electromagnetic waves will not only be directly reflected back to the receiving antenna by the target, but will also be reflected on the inner surface of the building wall and the ground, and finally transmitted to the receiving antenna. In the middle, it appears as a multi-path false target, which leads to false alarms and seriously affects the detection performance of the through-wall radar. [0003] Multipath in the field of synthetic aperture through-wall radar can be classified according to the reflection of electromagnetic waves on the inner surface of the building,...

AI Technical Summary

Problems solved by technology

This method needs to solve complex optimization problems, which consumes a lot of computing resources and running time, and cannot be processed in real time.

King Fahd University of Petroleum and Minerals proposed a multipath suppression method combining sub-aperture imaging with compressed sensing (A.Abdalla, A.Muqaibel, and A.Suhail, "Aspect dependent multipath ghost suppression in TWRI under compressive sensing framework, "in Proceedings of the International Conference on Communication, Signal Processing, and their Application, Sharjah, February 2015, pp.1–6), although this method can reduce the amount of computing data and suppress multipath false targets, it needs radar selection and optimization Solving, will lead to complex operations and cannot meet the requirements of real-time

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