A Track Deletion Method Based on Pseudo-Sliding Window l Judgment Criterion

Abstract

The invention provides a track deletion method based on a pseudo sliding window, which takes into account the situation that different targets are observed at different time intervals in a narrow beam edge scanning variable tracking radar tracking system. Determine whether the target is irradiated by radar echoes. The real-time radar tracking situation divides the sliding window into effective and false sliding windows. When managing the track, remove the false sliding window to ignore when the radar does not illuminate the area where the target is located. If the track is not related to the measurement within L consecutive valid sliding windows, it is considered as a false track and deleted. In the process of track deletion, the window is divided into effective and pseudo sliding windows, and only the effective sliding window is concerned, this method is called the pseudo sliding window L criterion. While tracking, the invention dynamically adjusts the sliding window according to the real-time monitoring area of ​​the radar beam, and makes a reasonable judgment on the track accordingly.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, in particular to the multi-target tracking technical field of a side-scan variable tracking radar system. Background technique [0002] The side-scan variable tracking radar is a multi-target tracking radar, which divides a part of the beam to search the airspace while tracking the target. Due to the limited time energy resources of a radar system, to realize the search and tracking of more batches of targets, it is necessary to improve the utilization rate of time energy resources of the radar system as much as possible. For this reason, various system resource adaptive scheduling algorithms have emerged. Among them, the target tracking algorithm for adaptively adjusting the data rate proposed for the multi-target tracking problem generally adopts the following strategy: in the case of meeting the tracking accuracy requirements, adaptively select the appropriate data update rate...

AI Technical Summary

Problems solved by technology

Although the interactive multi-model filter can be used for maneuvering target tracking problems, when the maneuverability of the target is large, the interactive multi-model algorithm is difficult to reflect the maneuverability of the target, so a higher sampling rate is still required

The problem is: when the sampling frequency is high, since the tracking beam can only irradiate part of the area each time, multiple scanning beams are required to scan the entire monitoring area

Therefore, the target is likely to be undetectable in multiple consecutive frames, so according to the traditional track deletion method, the real track may be mistaken for a false track and deleted

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