Target localization and tracking system and method

Abstract

The invention relates to a target localization and tracking system and a method. The system comprises a plurality of cluster localization modules and command control modules, each cluster localizationmodule comprises a plurality of sensor nodes and cluster head nodes, and each cluster head node comprises an initialization module, a particle filtration module, a particle weight calculation module,a re-sampling determination module and an estimation target state module. The method which combines Kalman and particle filtration is adopted for realizing the passive localization of a target, and the computation speed is far lower than the particle filtration method on the basis of realizing high-precision localization; the localization and the track of the target is finally realized by adopting multiple sensors and being based on the observation of the direction of the target, thereby being capable of overcoming the constraint that the traditional machine-mounted or ship-mounted single station system must carry out motorization during the observation period, having no need of observing the motorization of a platform, improving the flexibility of target localization, greatly increasingthe area of a region of target monitoring localization, avoiding the shortcoming of existence of localization blind regions and having very high effectiveness, accuracy and feasibility.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a target positioning and tracking system and method. Background technique [0002] Due to the development of modern information technology, network technology and wireless communication technology, the rapid development of wireless sensor network technology has been promoted. The positioning and tracking technology of moving targets has a broad application background, involving military and civilian fields. In the traditional target passive positioning technology, the target passive positioning technology based on pure azimuth measurement is mostly used. The main problem to be solved is how to use the observed target azimuth information to estimate the target's motion parameters and then realize the target positioning and tracking. Most of the system configurations are airborne or shipborne single-station measurement systems. This system configuration is limited by the obse...

AI Technical Summary

Problems solved by technology

In recent years, international research in this direction has made remarkable achievements, among which particle filter (PF) has received more widespread attention, so in recent years, azimuth-only measurement and positioning technology based on particle filter method to achieve the goal has appeared , although this method has higher positioning accuracy than the method based on KF, but this method needs more particle numbers to realize the accurate estimation of the posterior probability, resulting in a large amount of calculation and long calculation time, which is not conducive to real-time application

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