Total variation regularization correlated imaging method based on nonnegative constrain on target scattering coefficient

Abstract

The invention belongs to the technical field of radar imaging and discloses a total variation regularization correlated imaging method based on non-negative constraint on a target scattering coefficient. Firstly, a radar correlated imaging model is established according to a geometric relation of correlated imaging. The amplitude and phase position of the target scattering coefficient are split and a total variation regularization function is established under the condition of nonnegative constrain. The regularization function is optimally solved by using an alternating direction multiplier method. The total variation regularization correlated imaging method considers information of the amplitude and phase position of the scattering coefficient separately, makes full use of the non-negativity of the amplitude of the scattering coefficient to reestablish a radar target scene, thus the establishment of the model is more close to an actual situation, which is beneficial to get a better imaging result. Compared with a commonly used correlated imaging algorithm, the method of the invention can better reserve information of edges between areas of reconstructed image and strengthen the smoothness of the areas.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to a total variation regularization correlation imaging method based on non-negative constraints of target scattering coefficients. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: In recent years, the research on radar correlation imaging technology has been deepened, and a series of achievements have been achieved. Existing technology 1 proposes an imaging method based on a two-dimensional space-time random radiation field for the first time, revealing that the two-dimensional space-time randomness of the radiation field is the essential reason for achieving target super-resolution reconstruction, laying the foundation for subsequent theoretical research. The second prior art compares and analyzes thermal correlation imaging, radar correlation imaging and traditional radar imaging, and verifies the ...

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Problems solved by technology

[0003] To sum up, the problem existing in the existing technology is: the existing imaging algorithms all assume that the scattering coefficient is a real number, and impose amplitude constraints on it. However, the echo data and the target scattering coefficient observed by radar imaging are both complex numbers. Therefore, it is necessary to separately process the magnitude and phase of the scattering coefficient, and make full use of the non-negativity of the magnitude information

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