Bayesian radar correlated imaging method based on disturbance matrix estimation

Abstract

The invention discloses a Bayesian radar correlated imaging method based on disturbance matrix estimation. The method comprises a step of estimating a disturbance matrix through a regularization method constrain echo signal calculation model, a step of obtaining a target scattering coefficient calculation model by utilizing a prior probability density distribution function of an echo and prior information of a target scattering coefficient based on a Bayesian theory, and a step of solving the target scattering coefficient according to the target scattering coefficient calculation model. According to the radar correlated imaging method, the disturbance matrix is obtained through the regularization method constrain echo signal calculation model, the error of the reference matrix can be reduced due to the existence of the disturbance matrix, in addition, the target scattering coefficient calculation model is obtained according to the prior probability density distribution function and theprior information of the target scattering coefficient, the final target scattering coefficient is obtained, and therefore, the mismatch situation of the echo signal caused by the existence of the error can be effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of target tracking, and in particular relates to a Bayesian radar correlation imaging method based on disturbance matrix estimation. Background technique [0002] Radar correlation imaging is derived from traditional optical imaging, which belongs to a new type of staring imaging technology. Radar correlation imaging can break through the conditions that the imaging resolution of traditional radar imaging is limited by aperture size and other conditions, and realize high-resolution imaging. Radar correlation imaging has already It has become a new development direction in the field of radar imaging. [0003] Radar correlation imaging relies on multiple independent antenna elements to transmit random signals to form a space-time two-dimensional random radiation field in space, and correlates the radiation field formed by the received scattered echo signals with the pre-stored random radiation field to obtain ...

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Problems solved by technology

[0004] However, in reality, there are many factors that cause errors in the radar model. The combined effect of these factors will cause errors in the reference matrix, resulting in model mismatch

Reconstruction performance of radar target scattering coefficients due to model mismatch

For the matrix perturbation problem, the existing methods construct and solve the regularized total least squares optimization problem under the sparse constraint, and have achieved certain results for the point target scene, but there will be a problem of low resolution for the complex scene; for the model The radar theoretical reference matrix under mismatch is disturbed by a Gaussian white noise that satisfies zero mean value. An improved underdetermined system solution method for radar correlation imaging under model mismatch is proposed. However, this algorithm depends on the initialization value setting, under imaging conditions such as large model error and low signal-to-noise ratio, the radar super-resolution imaging performance is poor

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