Radar target tracking method based on environment situation analysis

Abstract

The invention discloses a radar target tracking method based on environment situation analysis. The method comprises processing processes of polar coordinate sector division, sector drive tracking, target environment situation analysis, target matching association, target cleaning and target navigation establishment. A polar coordinate system is divided into sectoral regions of equal distance andorientation. When radar video data cross a predetermined orientation, a tracking module is driven to process the radar target data of a corresponding sector. Firstly, the environment situation analysis of a radar target is carried out, radar target environment situations are classified into three categories, namely, a security state, an early warning state and a fusion state, and then different tracking processing strategies are selected according to different environment situations of the radar target. Secondly, a target that meets a deletion criterion is deleted, and finally, points that arenot associated with the target are subjected to navigation establishment processing. The invention provides a target tracking processing strategy which has a certain effect on reducing false trackingand improving system tracking stability.

Description

technical field [0001] The invention relates to the technical field of radar target tracking, in particular to a radar target tracking method based on environmental situation analysis. Background technique [0002] Surface ship targets show different characteristics in different areas. Some areas have low ship density, while some areas have high ship density. The target tracking processing in areas with low ship density is relatively simple, while the target tracking processing in areas with high density is more complicated. Such as inland waterways or ports, due to the high density of ships, there will often be cases of overtaking, meeting and crossing between ships (especially in the car crossing area). Similar situations will also occur when the ship sails near the coast or passes the edge of the anchorage, which puts forward high requirements for radar target tracking. In these cases, the radar video echo of the ship will be merged with the echoes of other ships or fixe...

AI Technical Summary

Problems solved by technology

[0009] As mentioned above, several association filtering algorithms commonly used in radar target tracking have their own advantages and disadvantages. For example, the nearest neighbor method has a high misassociation rate in the clutter environment or dense target situations, and the calculation amount of the JPDA algorithm increases exponentially with the sample size. The problem is that the αβ filter algorithm is not suitable for maneuvering target tracking, and the .IMM filter algorithm also has a large amount of calculation. It is difficult for a single algorithm to meet the actual needs. How to effectively use these classic algorithms to maximize strengths and avoid weaknesses, and perform target tracking processing in a targeted manner. A Way to Improve Radar Tracking Performance

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