Pseudo sliding window L judgment rule-based flight trajectory deletion method

Abstract

The present invention provides a pseudo sliding window-based flight trajectory deletion method. According to the method, a condition that time intervals of being observed of different targets are different in a narrow-beam tracking-while-scanning system is considered; when tracking is carried out, whether the targets are irradiated by radar echoes is judged according to a radar beam scanning rule; sliding windows are divided into effective sliding windows and pseudo sliding windows based on radar real-time tracking conditions; the pseudo sliding windows are deleted when flight trajectories are managed, so that influence on flight trajectory deletion decision making caused by a region where targets not irradiated by a radar are located can be ignored; and if the flight trajectories are not associated with measurement in L continuous effective sliding windows, it is considered that the flight trajectories are pseudo flight trajectories and are deleted. Since the sliding windows are divided into the effective sliding windows and the pseudo sliding windows in a flight trajectory deletion process, only the effective sliding windows are focused, the method is called a pseudo-sliding window L criterion; and when tracking is carried out, the sliding windows are dynamically adjusted according to the real-time monitoring area of radar beams, so that the flight trajectories are reasonably judged.

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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