Centralized multi-sensor formation targets tracking method based on template matching

Abstract

The invention provides a centralized data interconnection tracking method capable of accurately tracking non-motorized formation targets under the complex background. According to the method, a template shape matrix and a to-be-matched shape matrix are established through a formation state set and a formation measurement set which are successfully related in advance on the basis of the characteristic that the positions of true target echoes in the formation in all detection periods are relatively fixed under the non-motorized condition, a matching matrix with the minimum cost is selected through a matching search model and matching matrix affirming rule, and state renewing of all target tracks in the formation is completed on the basis of a template and the corresponding matching matrix through kalman filtering. By means of the method, clutters can be eliminated to the maximum extent, stability of the target structure in the formation is ensured, and therefore the situation that the targets in the formation cross and are interconnected by mistake can not occur; meanwhile, by means of the method, detection information of multiple sensors can be fully utilized, and no redundant track can be generated.

Description

technical field [0001] The invention relates to a centralized multi-sensor formation target tracking method based on template matching in the field of data processing, and is applicable to information fusion systems of various centralized structures. Background technique [0002] In a real environment, often due to factors such as uncontrollable or specific human purposes, a complex target group will be formed in a small airspace, such as the fragmentation of space debris, a large number of decoys and missiles accompanying the penetration process of ballistic missiles. And aircraft formations, etc., these targets are distributed in a small range, the difference in motion characteristics is not obvious, the relative motion speed is low and the characteristics are close. The field of target tracking refers to such targets as formation targets. The traditional multi-sensor multi-target tracking algorithm has very limited tracking effect on formation targets. This type of algo...

AI Technical Summary

Problems solved by technology

However, with the improvement of sensor resolution, the following deficiencies gradually appear: First, the derivation environment of the existing formation target tracking algorithms is mostly relatively simple, and it is usually assumed that the individual targets in the formation are completely identifiable. However, in the actual detection process, due to the Due to factors such as mutual occlusion of the formation and insufficient sensor resolution, formation targets are usually partially discernible; second, in some practical engineering applications, such as the interception of low-altitude formation penetration targets, and the tracking of targets with special value within the formation, etc., While tracking the entire formation, it is very necessary to track the individual targets in the formation separately. However, the existing formation target tracking algorithms usually only get the overall state of the formation, and do not consider the precise tracking of the targets in the formation.

In particular, when networked sensors are used in engineering to detect formation targets, it is necessary to perform data interconnection and fusion processing, especially for centralized multi-sensor formation target tracking technology in complex backgrounds such as cloud and rain clutter and band interference. No literature has been researched yet

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