Correction logic method track initiation method based on self-reporting point

Abstract

The invention provides a correction logic method track initiation method based on a self-reporting point, and belongs to the field of track initiation, and the method comprises the steps: building a temporary track; in the initial correlation gate, setting a clustering threshold by taking the self-reporting point as a core point, and forming a temporary track set according to a standard according to different position relationships of the measurement points in the clustering threshold and the initial correlation gate; extrapolating the temporary track, and adding an angle constraint threshold value to the third measurement falling into the prediction correlation gate; judging the relevance between the measurement and the temporary track, and selecting a corresponding point as a final relevance point according to a standard; and so on, until the start success condition is met or the start condition is not met until the track disappears. The logic starting correction method mainly aims at the unbalance problem that the number of real plots falling into the association gate is large but the false starting rate is low when the track of the m / n logic method starts, meanwhile, the number of the real plots falling into the association gate is not reduced, the false starting probability of the method is low through experimental verification, and the false number of initial tracks is small.

Description

technical field [0001] The invention belongs to the field of track initiation, and in particular relates to a track initiation method based on a self-report point correction logic method. Background technique [0002] In real engineering applications, there are often multiple targets in the monitoring airspace and the monitoring environment is also very complex. The obtained target track cannot effectively judge whether it is true or false, and this situation is very common in continuous scanning cycles. Therefore, before updating the track, it is necessary to introduce the track initiation algorithm to solve the problems of matching between point traces and establishing a stable track. [0003] The important structure of the general model of track initiation can be divided into: establish the original track (find the head of the track); establish the temporary track according to the logic and the initial correlation gate; confirm the correctness of the temporary track accor...

AI Technical Summary

Problems solved by technology

Obviously, although the large and undirected annular wave gate allows more real traces to fall into the wave gate to a certain extent, it also falls into more clutter and false data at the same time, resulting in many false tracks in the temporary track, The problem of many repeated tracks

It is also critical to select the connection point in the prediction correlation wave gate. The traditional logic method uses the nearest neighbor method to select the point closest to the extrapolation point as the connection point. This method does not consider the angular relationship between the connection point and the temporary track of the target, and it is easy to form a "V" type track

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