Maneuvering target robust tracking method under generalized correlation entropy criterion

Abstract

The invention discloses a maneuvering target robust tracking method under a generalized correlation entropy criterion, and provides a robust framed solution for solving the tracking problem of a maneuvering target with sensor observation interference. According to the method, an interactive multi-model method serves as a basic framework, in the mixing step, a cost function with the target state filtering estimated value of a sub-model at the last moment as an independent variable is established with the maximized generalized correlation entropy as the criterion, and the mixed target state estimated value is found by optimizing the cost function; and in the fusion step, a cost function taking the target state filtering estimation value of the sub-model at the current moment as an independent variable is established by taking the maximized generalized correlation entropy as a criterion, estimation fusion of the model is achieved by optimizing the cost function, and a robust estimation value of the target state at the current moment is finally obtained.

Description

technical field [0001] The invention relates to a robust tracking method of a maneuvering target under a generalized correlation entropy criterion, and belongs to the technical field of target tracking involving relevant theories such as information theory learning, recursive Bayesian state estimation, and multi-source information fusion. Background technique [0002] State estimation is a key technical link in the process of target tracking. Its core is to process the target observation data collected by sensors, so as to estimate and output target state parameters including target position and speed in real time, so that users can It can grasp the physical information status of the target in real time. In many practical problems, the target is not limited to entities that move slowly or follow specific laws, such as people, animals, and items on the production line, but are likely to be entities with strong mobility such as locomotives, aircraft, or even missiles. Based on...

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Problems solved by technology

Considering the above two types of factors, it can be seen that the use of interactive multi-model methods for maneuvering target tracking has relatively large limitations. For the outliers presented during the observation process, the state estimation effect of interactive multi-models will be greatly affected. influences

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