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Variational Bayesian radar correlated imaging method combining minimum mean square error estimation

A minimum mean square error and variational Bayesian technology, applied in the field of target tracking, can solve the problems of model error and poor performance of radar super-resolution imaging, and achieve the effect of improving radar super-resolution imaging performance and reducing errors

Active Publication Date: 2020-02-07
XIDIAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the above method still has the problem of poor radar super-resolution imaging performance under the imaging conditions of large model error and low signal-to-noise ratio.

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  • Variational Bayesian radar correlated imaging method combining minimum mean square error estimation
  • Variational Bayesian radar correlated imaging method combining minimum mean square error estimation
  • Variational Bayesian radar correlated imaging method combining minimum mean square error estimation

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Embodiment 1

[0041] See figure 1 , figure 1 It is a schematic flowchart of a variational Bayesian radar correlation imaging method with joint minimum mean square error estimation provided by an embodiment of the present invention. This embodiment proposes a variational Bayesian radar correlation imaging method combined with minimum mean square error estimation. The radar correlation imaging method mainly includes steps 1 to 4, wherein:

[0042] Step 1. Obtain the associated imaging model under the mismatch condition;

[0043] Step 1.1. According to the radiation field reference matrix, Gaussian white noise and target scattering coefficient, the associated imaging model under ideal conditions is obtained;

[0044] Radar correlative imaging processing methods are usually based on uniform array configuration and random array configuration. If N transmitting array elements are uniformly arranged on the XOY plane, it is called a symmetrical array configuration. If N transmitting array element...

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Abstract

The invention discloses a variational Bayesian radar correlated imaging method combining minimum mean square error estimation. The method comprises the steps of obtaining a correlated imaging model under a mismatch condition, obtaining an actual reference matrix by combining minimum mean square error estimation according to the correlated imaging model under the mismatch condition, and solving a target scattering coefficient according to a two-layer Bayesian prior information model. According to the radar correlated imaging method, by setting the actual reference matrix during radar imaging, therefore, the radar correlated imaging method provided by the invention considers the influence of a disturbance matrix on an actual echo signal, in addition, a target scattering coefficient is obtained under the condition of the two-layer Bayesian prior information model such that an error of the correlated imaging model is reduced, and the radar super-resolution imaging performance under the condition of a low signal-to-noise ratio is improved.

Description

technical field [0001] The invention belongs to the technical field of target tracking, and in particular relates to a variational Bayesian radar correlation imaging method combined with minimum mean square error 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. 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 f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/89G01S7/41
CPCG01S13/89G01S7/418
Inventor 包敏周静史林邢孟道甘宜超范龙飞
Owner XIDIAN UNIV