Filtering method for multi-strategy maneuvering tracking

Abstract

The invention provides a filtering method for the multi-strategy maneuvering tracking, and the method comprises the steps: receiving target detection information, employing a current statistical model, introducing a time-varying fading factor, and adjusting the gain in real time according to the motion condition of a target, so as to improve the estimation performance of the current acceleration of the target, and achieve the pre-estimation of the acceleration of the target; carrying out the comprehensive processing of the maneuvering factors of the target, calculating a maneuvering value in acurrent motion state, carrying out the mapping of the maneuvering value to a model set, so as to divide the model set in different maneuvering states and obtain a current output weight of each modelthrough a fuzzy inference system; carrying out the filtering output through an interactive multi-model filtering process, obtaining the current position information and motion information, and predicting and outputting the position information at a next moment. According to the invention, a filtering structure is optimized through the reasonable reduction of a redundant model, the tracking precision is improved, and the method is suitable for a large-range maneuvering tracking of the target.

Description

technical field [0001] The invention relates to the field of fire control of anti-aircraft missile weapon systems, in particular to a tracking filter processing method for high-height maneuvering targets. Background technique [0002] The essence of the maneuvering target tracking problem is the uncertainty of the target motion pattern. Uncertainty problems in tracking systems include information sources, environmental noise, false targets, and uncertainties in target maneuvering states. With the development of military science and technology, missile, aircraft and other aircraft technology and air defense and anti-missile technology are changing with each passing day, which makes the problem of target tracking uncertainty more serious, and then puts forward higher requirements for the target tracking system. [0003] The target tracking filtering algorithm is based on a specific mathematical model, so the target tracking model and filtering algorithm are two extremely impo...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a filtering method for multi-strategy maneuvering tracking, to solve the problem of large-scale maneuvering of the target, by reasonably reducing redundant models, optimizing the filtering structure, improving tracking accuracy, and adapting to large-scale maneuvering of the target. Solving the problem of real-time large maneuvering target tracking

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