Flight path initializing method based on trace point preprocessing of environmental information graph

Abstract

The invention discloses a flight path initializing method based on trace point preprocessing of an environmental information graph. The flight path initializing method includes following steps: (1) traversing regions and establishing the environmental information graph; (2) carrying out trace point preprocessing by the aid of the environmental information graph; and (3) roughly associating trace points in flight path initialization by the aid of Hough transformation at first, and then carrying out association fuzzy elimination by a correcting logical method. The flight path initializing method can effectively resolve problems relevant to initialization of a maneuvering target in a strong clutter environment, can rapidly detect an initial real flight path by high probability and provides technical support for stable tracking of the target.

Description

technical field [0001] The invention belongs to the technical field of track initiation and tracking of electronic detection targets, and in particular relates to track initiation applicable to targets in complex water surface clutter environments in a vessel traffic navigation system (VTS). Background technique [0002] Track initiation is the first step in track management and the premise of track tracking and maintenance. In recent years, although there have been many research results on target track management, there are few studies on track initiation. The existing track initiation algorithms can be divided into two categories: sequential processing technology and batch processing technology. In general, sequential data processing techniques are suitable for track initiation in relatively clutter-free environments, mainly including heuristic rule-based methods and logic-based methods. Batch data processing technology is suitable for clutter environment, mainly includi...

AI Technical Summary

Problems solved by technology

The NN algorithm is the most commonly used algorithm in the field of data association, and it is also the simplest algorithm. The latter two algorithms have been extensively studied theoretically in the field of data association in recent years. Rough measurement quickly completes the track initiation), so that the methods involving likelihood, posterior probability, detection probability, and false alarm probability can only be used as a theoretical and methodological discussion, and they are not currently relevant to engineering. too much practical value

[0004] Based on the above analysis, there is still no track initiation method that is really suitable for engineering applications, and it needs to be improved

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