A real-beam scanning radar angle super-resolution method in clutter background

Abstract

The invention discloses a real-beam scanning radar angle super-resolution method under the background of clutter. According to the echo characteristic of the scanning radar after pulse compression, the azimuth dimension echo is modeled as a convolution model of the target amplitude and the antenna pattern , and process the echo signal according to the maximum likelihood deconvolution method, use the Rayleigh distribution to characterize the clutter characteristics and establish the objective function, obtain the maximum likelihood solution by solving the objective function, and construct an iterative expression to solve The problem of low azimuth dimension resolution of the traditional scanning radar imaging mode is solved, and the angular super-resolution imaging of the scanning radar is realized.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to super-resolution imaging of sea angles by scanning radar. Background technique [0002] Radar platform sea imaging has great application value in civil and military fields such as maritime disaster search and rescue, route guidance and sea surface target recognition. In order to obtain a larger imaging range and be limited by irregular platform motion, the scanning imaging mode is usually used in the above applications to obtain two-dimensional echo images in the imaging area by sending and receiving large-bandwidth chirp signals. And for the echo signal, the two-dimensional resolution is improved through signal processing to meet the resolution requirements in practical applications. First of all, for the distance dimension, the method of matched filtering is usually used to achieve high resolution. Secondly, for the echo signal of the azimuth dimension, since...

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Problems solved by technology

[0003] Among them, the document "Huang Y, Zha Y, Zhang Y, et al. Real-beam scanning radarangular super-resolution via sparse deconvolution. Geoscience and RemoteSensing Symposium (IGARSS), 2014IEEE International.IEEE, 2014:3081-3084." proposed a A coherent clean deconvolution method, which achieves angular super-resolution through cancellation, and to a certain extent solves the problem that traditional clean algorithms cannot restore multiple targets in a single beam

However, this method has a large amount of calculation, and at the same time, the performance of the algorithm is significantly reduced when facing the extension point target.

[0004] Secondly, the literature "Guan, Jinchen, Yulin Huang, Jianyu Yang, Wenchao Li, and JunjieWu." Improving angular resolution based on maximum a posteriori criterion for scanning radar." In Radar Conference (RADAR), 2012IEEE, pp.0451-0454.IEEE ,2012." and the literature "Daolin, Zhou, Huang Yulin, and Yang Jianyu."Radar angular superresolutionalgorithm based on Bayesian approach."In Signal Processing(ICSP),2010IEEE10th International Conference on,pp.1894-1897.IEEE,2010. "Based on the Bayesian formula, the objective function is established and solved by using the distribution characteristics of noise and targets to restore the original scene in the azimuth domain, which improves the azimuth angle resolution of the scanning radar to a certain extent. However, such methods assume The Poisson distribution does not conform to the clutter distribution characteristics of actual radar imaging, so the super-resolution performance of this type of method is limited

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