System and method for joint detection and tracking of weak and small targets based on random finite sets

Abstract

The present invention provides a weak and small target joint detection and tracking system and method based on random finite sets, including an infrared image measurement module, which is used to obtain infrared measurement images of the ground environment and targets, thereby obtaining target measurement domains; target prediction The module is used to calculate the target measurement domain to obtain the predicted state of the target and the predicted track label of the target, and then perform Gaussian sampling; the target update module is used to calculate the likelihood function, and calculate the updated state of the target according to the likelihood function Update the track label with the target; and establish a hypothetical cost function associated with the target and measurement, select the hypothesis corresponding to the maximum weight according to the hypothetical weight, and obtain the target state and track estimated value at the current moment. The invention provides the basis of acquiring target infrared measurement in a complex environment, through measurement difference, self-adaptive extraction of newborn targets, and optimal allocation of track, to realize effective detection and tracking of weak and small infrared targets in a complex noise environment .

Description

technical field [0001] The invention belongs to the technical field of target detection and tracking, in particular to a system and method for joint detection and tracking of small and weak targets based on random finite sets. Background technique [0002] In modern warfare, with the development of stealth technology and the increasingly complex battlefield environment, targets with low signal-to-noise ratio show weak target characteristics in sensor measurement. Effective correlation makes it difficult for traditional tracking methods to effectively detect and track targets. And most of the traditional tracking methods are based on the radar system, but because the radar system also radiates its own characteristics when detecting the target, it is easy for the radar measurement system to expose its position and suffer the attack of the enemy, and it is difficult to survive in the current war . Infrared imaging technology has the advantages of strong anti-jamming ability f...

AI Technical Summary

Problems solved by technology

At the same time, because the traditional tracking algorithms JPDAF and MHT need to divide the target through data association, it is easy to cause association errors in complex scenes and cause the tracking performance of JPDAF and MHT to decline. In order to deal with this problem, a random finite set (RFS) based Tracking technology, which can jointly detect and track multiple targets whose number of targets is unknown and time-varying without complex data association processing, which can effectively improve tracking accuracy

However, in the field of multi-weak and small target tracking in complex scenes, the research on combining infrared image measurement and RFS tracking technology is still in its infancy, and there are high computational complexity, high false alarm probability of target measurement in complex backgrounds, and tracking Problems such as low precision

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