An Extended Target Modeling Method for Maneuvering Stochastic Hypersurfaces under Multi-Scattering Point Measurement

Abstract

A maneuvering random hypersurface expansion target modeling method under multi-scattering point measurement comprises the specific steps: 1, obtaining maneuvering random hypersurface expansion target description parameters from multi-scattering point measurement, and preprocessing the description parameters; 2, using the preprocessed description parameters to obtain the maneuvering random hypersurface expansion target form descriptions; 3, translating a maneuvering random hypersurface expansion target contour curve according to the form descriptions, thus obtaining a maneuvering random hypersurface expansion target maneuvering description; 4, using a maneuvering random hypersurface expansion target motion state transfer matrix to solve a system transfer matrix; 5, using the maneuvering description and the system transfer matrix to obtain a maneuvering random hypersurface expansion target system model. The method can solve the time evolution problems of the target motion states and expansion forms in a maneuvering process, thus precisely tracking the target.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a method for modeling a motorized stochastic hypersurface extended target under multi-scattering point measurement. Background technique [0002] With the substantial improvement of the resolution capability of modern high-precision sensors and the rapid development of information processing technology, larger targets in the acquired echoes and distance walks caused by long-term coherent accumulation will cause the target to occupy multiple resolution units of the sensor, thus With high-resolution imaging capabilities. Correspondingly, at each observation moment, the sensor will receive multiple scattered point measurements from the same observation object, and at the same time it can distinguish the shape, outline and structural features of the target. Using this information can effectively improve the target tracking performance and recognition accuracy . In this case...

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Problems solved by technology

[0004] In order to solve the deficiencies in the prior art, the present invention provides a method for modeling the extended target of the maneuvering stochastic hypersurface under multi-scattering point measurement, which can solve the time evolution problem of the target’s motion state and extended form during the maneuvering process, and can also take into account Deal with the coupling relationship between the two, so as to establish a stochastic hypersurface target joint evolution model that can describe the entire maneuvering process, and ultimately help to achieve the goal of accurate tracking

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