A Track Correlation Method for Radar Networking in Formation Flight
A technology of track association and radar networking, which is applied in the field of radar network track association of formation flight
Active Publication Date: 2017-04-05
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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[0003] The purpose of the present invention is to propose a radar network track correlation method for formation flying for the track correlation in multi-radar information fusion, and solve the problem of correct correlation of target tracks in the formation environment
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[0101] In this embodiment, correlation processing is performed on radar tracks that have corrected systematic errors in the radar network, and the maximum possible random errors of the radar A and radar B systems are both Δθ max =0.15°, distance random error Δρ max =75m, the maximum direction finding resolution θ dmax =0.1°, the maximum distance resolution ρ dmax = 100m. The coordinates of the base point of radar station A are (10.234km, 5.861km), and a total of 3 targets (T 1 , T 2 , T 3 ), the base point coordinates of radar station B are (75.345km, 5.901km), and a total of 4 targets were detected (T 4 , T 5 , T 6 , T 7 ), the latest position and velocity of each track after a certain period of space-time alignment are shown in Table 1, and the distance and azimuth in Table 1 are relative to the base point of the track detection radar. In the formation detection, the judgment thresholds of similar distance and consistent speed are respectively C p = 2km, C v = 30k...
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The invention discloses an association method for the radar networking flight path for formation flight. The association method comprises the following steps of firstly, performing formation detection on the radar flight path, detecting that more than two formations exist, and performing group correlation according to the position and the speed of a formation center; then selecting a formation of which the number of the flight paths is greatest in the formations with the group correlation as a reference formation; setting the distance interval divided by a local relative position relation matrix and the dimension of the matrix according to the shortest distance interval among the flight paths in the reference formation, and establishing the local relative position relation matrix of the formation; performing random measurement error generalization processing on the local relative position relation matrix of the reference formation; comparing the local relative position relation matrix of the other formation with the local relative position relation matrix of the reference matrix, analyzing the matching similarity of position relations, and obtaining the correlation result of the flight paths in the formations according to the optimal allocation principle; finally, performing resolution test processing on the association fuzzy flight paths to determine a final association relation of the flight paths in the formations.
Description
technical field [0001] The invention belongs to radar network track association technology, in particular to a radar network track association method for formation flight. Background technique [0002] For the track correlation of radar networking, in the case of dense target formation environment, due to the system error residual, radar resolution, viewing angle and other reasons, the common track correlation method cannot perform the correlation of dense target track very well. The traditional track correlation method of nearest neighbor track statistics is easy to cause wrong correlation and batch addition of targets, while the track correlation method of joint optimal statistics is based on the calculated associated fuzzy set when the distance between the two formations exceeds a certain distance. Probability product, it is difficult to judge the relationship, and the relationship is blurred. In view of the formation environment with dense targets, this patent proposes ...
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IPC IPC(8): G06F19/00
Inventor 朱霞贺成龙赵靖姜虎
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP