Group target tracking method based on cyclic threshold distance segmentation
A cycle threshold and group target technology, applied in the field of group tracking, can solve problems such as poor separability, insignificant difference in motion characteristics, and inability to complete target tracking, and achieve the effect of improving tracking ability and tracking accuracy.
Inactive Publication Date: 2021-04-27
NAVAL AVIATION UNIV
View PDF8 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] The present invention can effectively solve the problem of early continuous and stable tracking of a space target group composed of a large number of high-speed targets with close distances, poor separability, and insignificant differences in motion characteristics, improve the space multi-target tracking capability and tracking accuracy of the radar system, and avoid Exceeding the maximum number of targets the system can handle, causing the radar system to be overloaded and unable to track all targets
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0007] The specific implementation mode of the present invention divides the following several steps:
[0008] Step 1: Set up a grouping instruction. At the initial moment, the grouping instruction of the first group target is set to 1, and the rest are 0;
[0009] Step 2: Set the distance threshold, perform group segmentation centered on the first target measurement data, and obtain group target 1, as follows:
[0010] Assume that the measurement data set obtained at a certain time (k time) is here m k is the number of measurement data obtained at time k, z i (k) is the i-th measurement data obtained at time k, and
[0011]
[0012] In the formula with Respectively represent the radial distance, azimuth angle and elevation angle measurement data of the i-th target measured by the radar at time k;
[0013] Measure the first target measurement data z in the data set Z(k) at time k 1 (k)=[x 1k ,y 1k ,z 1k ]' as the center, the superscript ' means transpose, with ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a group target tracking method based on cyclic threshold distance segmentation, and belongs to the technical field of group target tracking. A space target group has the characteristics of small spatial domain distribution range, high intensity, poor separability, low relative movement speed between targets and the like; and in order to solve the problem of continuous and stable tracking of intensive targets by using limited radar resources in the early stage, a distance threshold value is utilized to segment group target measurement data, grouping judgment is performed on group edge targets by utilizing a cyclic distance threshold, target measurement data meeting a threshold requirement is supplemented into a corresponding target group, so that group segmentation is finished; corresponding group center position data and a corresponding covariance matrix after group segmentation are calculated; and group association and group tracking are performed with the group center data taken as measurement values; the space multi-target tracking capability of a radar system is improved through group tracking of the space intensive targets; and therefore, problems of tracking saturation and the like due to the fact that the number of the targets exceeds the processing limit of a data processing center are avoided.
Description
technical field [0001] The invention belongs to the technical field of group tracking and is suitable for a group target tracking system in a complex and dense target environment. Background technique [0002] The space target group has the characteristics of small airspace distribution range, high density, and low relative movement speed between targets, which leads to the target being in a "cluster" state for a relatively long period of time. Multi-target tracking in a dense target environment can use edge-association edge The tracking method, that is, using probabilistic data association, multi-hypothesis and other methods to solve the matching problem of measurement data, and then using the successfully paired data to update the state to solve the target tracking problem, but this type of method is common in situations where the target density is relatively high There is a problem of low correlation accuracy. In order to improve the correlation accuracy, the complexity o...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66
CPCG01S13/66
Inventor 修建娟董凯董云龙徐从安丁自然王萌
Owner NAVAL AVIATION UNIV