System and method for target positioning and tracking

Abstract

The invention relates to a target positioning and tracking system and method. The system includes: a plurality of cluster positioning modules and a command module; the cluster positioning module includes: a plurality of sensor nodes and a cluster head node; the cluster head node includes: an initialization module, a particle filter module, a particle weight calculation module, A resampling judgment module and an estimated target state module. The present invention adopts a method combining Kalman and particle filter to realize the passive positioning of the target. On the basis of realizing high-precision positioning, the calculation speed is far lower than that of the particle filter method; multi-sensors are used to finally realize the target position based on the observation of the target orientation The positioning and tracking of the target can overcome the constraint that the traditional airborne or shipborne single-station system must maneuver during the observation period, does not require the maneuvering of the observation platform, improves the flexibility of target positioning, and greatly increases the area of ​​target monitoring and positioning. Avoid the disadvantage of positioning blind spots; it has 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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