Multi-membership target intelligent matching algorithm
A matching algorithm and membership technology, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc., can solve problems such as delay, increase target tracking error tracking loss, and not suitable for real-time target tracking stage, etc. Improve real-time, reduce manual intervention, improve the effect of continuity
Active Publication Date: 2021-11-30
南京雷电信息技术有限公司
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Under the condition of multi-target or clutter interference, this method increases the probability of target tracking error or tracking loss; another multi-hypothesis association algorithm can improve target tracking performance, but this method has delay characteristics and is not suitable for real-time target tracking stage
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[0089] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the embodiments.
[0090] Such as figure 1 The target intelligent matching algorithm with multiple membership degrees shown includes:
[0091] S1: In the process of radar tracking target, set up to track target Neighborhood space as the center to realize the environment perception of the tracking target;
[0092] S2: In the current scanning period of the radar, the tracking target Utilize interactive multi-model algorithms for tracking and state estimation;
[0093] S3: In the current radar scan cycle, the backup target in the neighborhood space , , using the Kalman filter model for detection tracking and state estimation, is the number of backup targets in the neighborhood space;
[0094] S4: In the current scanning period of the radar, the backup target in the nei...
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The invention discloses a multi-membership target intelligent matching algorithm, wherein the algorithm comprises the steps: configuring a neighborhood space taking a tracking target as a center in a radar target tracking process; in the current scanning period of a radar, carrying out trace point-track association on the tracking target by using an interactive multi-model algorithm; carrying out trace point-track association on a backup target in the neighborhood space by using a Kalman filtering model; judging the backup target in the neighborhood space, and reserving a real target track; calculating the detection probability of the tracking target, and when the detection probability is smaller than or equal to the target detection loss probability, selecting the optimal neighborhood target from the backup target as the tracking target, and completing state estimation updating of the tracking target; and in the current scanning period of the radar, creating the backup target for non-target associated plots in the neighborhood space. According to the invention, target motion situation perception is realized by analyzing the target tracking environment, the target is intelligently matched, the target tracking continuity is improved, and the target tracking error probability is reduced.
Description
technical field [0001] The invention relates to the technical field of radar detection target tracking, in particular to a multi-subordination intelligent target matching algorithm. Background technique [0002] In the process of radar detection and tracking of targets, affected by various factors such as ground object occlusion, multi-target occlusion, or target high-speed maneuvering, the phenomenon of target echo loss is prone to occur, resulting in a decrease in the continuity and stability of target tracking. In the traditional radar data processing technology, one method adopts the method of adjusting the prediction covariance matrix and expanding the target wave gate to realize the target search correlation. Under the condition of multi-target or clutter interference, this method increases the probability of target tracking error or tracking loss; another multi-hypothesis association algorithm can improve target tracking performance, but this method has delay characte...
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IPC IPC(8): G01S13/66G01S7/41
CPCG01S13/66G01S7/418
Inventor 马志强柯树林黄建储德松
Owner 南京雷电信息技术有限公司