A Flying Object Multi-target Tracking Method Based on Stochastic Finite Model Set

Abstract

The disclosure relates to a multi-target tracking method for flying objects based on a random finite model set. The method includes: obtaining the echo parameters of the target flying object according to the radar data of the target flying object; determining the echo characteristics of the target flying object according to the echo intensity of the target flying object; According to the echo characteristics and trajectory characteristics of the target flying object, the category of the target flying object is determined; according to the category and echo parameters of the target flying object, the target state of the target flying object is predicted. According to the embodiments of the present disclosure, the determination of the type of the target flying object can be realized, the flight state of the target flying object can be predicted according to the type of the target flying object, and the target state of the target flying object at the next moment can be predicted, so as to improve the accuracy of the target flying object. tracking effect.

Description

technical field [0001] The present disclosure relates to the technical field of detection, in particular to a multi-target tracking method for flying objects based on a random finite model set. Background technique [0002] The flying bird target is a typical "low, slow, small" target, which is a difficult problem in the field of radar target tracking. In general, the main detection target of radar is an aircraft, which is easy to be found and tracked due to its fast speed, high altitude flight, large radar cross-section and large difference from the background. The difficulty of detecting and tracking flying bird targets is mainly due to the following reasons: (1) The flying height is low, and the flying height of general flying bird targets is only a few hundred meters or even tens of meters, and there are many obstacles in the ground. Sometimes there will be a large amount of clutter entering the receiver, which will cause great interference to the target tracking; (2) t...

AI Technical Summary

Problems solved by technology

The difficulty of detecting and tracking flying bird targets is mainly due to the following reasons: (1) The flying height is low, and the flying height of general flying bird targets is only a few hundred meters or even tens of meters. Sometimes there will be a lot of clutter entering the receiver, which will cause great interference to the target tracking; (2) The flying speed is slow. Generally, the flying speed of flying birds is less than 50m / s, and its echo signal is in the main lobe area of ​​clutter. False alarms, Doppler signal processing is easily confused with clutter and submerged; (3) the echo signal is weak, the radar cross section of a single pigeon target is only about -20dBm2, and the radar cross section of a single sparrow target is even Less than -30dBm2, the target signal-to-noise ratio is low, and the radar echo signal flickers, which brings great difficulties to the detection; (4) The flight maneuverability is high, and the birds are highly flexible in the daily flight process except for migration. The flight mode is changeable, and the flying habits of different bird species are also very different. It is difficult to form a stable track in radar detection, and it is difficult to realize real-time tracking and track prediction with general target tracking methods.

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