Flight path and air line classifying method based on evidence reasoning

Abstract

The invention relates to a flight path and air line related algorithm based on evidence reasoning, in particular to a flight path and air line classifying method based on evidence reasoning. A construction method of distance and heading basic belief assignment based on a probability distribution function and of chord length basic belief assignment based on a linear function is given out. The problem of high conflict and uncertainty of evidence constructed at a low signal-to-noise ratio is taken into consideration, and multi-evidence combining is performed by adopting an evidence combining method based on evidence distances and conflicting factors, so that the objective of classifying and judging flight paths is achieved. Correlation of the flight paths and air lines under a low signal-to-noise ratio tracking system can be performed to realize flight path classifying, so that the flight path and air line classifying method based on evidence reasoning is of great significance to situation evaluation under the low signal-to-noise ratio tracking system.

Description

technical field [0001] The main task of track classification is to divide the track into route target track and non-route target track, which is the process of post-processing the track output by the tracker. The track classification can provide the operator of the display console with the basis for judging the threat degree of the target, reduce his workload, assist the situation assessment, and enhance the grasp of the situation. Background technique [0002] There have been a lot of researches on the problem of target detection and target tracking, but there are few studies on the problem of track and route classification. Cheng Ming (Flight plan and radar track associated target recognition algorithm [J]. Sichuan Military Academy, 2010, 31(5): 107-109.) By extracting yaw, time difference, altitude and other related factors to calculate the track and flight The relevance of the plan, the flight plan and the track correlation algorithm are proposed, but it is aimed at the...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the track and route correlation under the probability framework cannot effectively deal with the high conflicts and uncertainties that exist in the low signal-to-noise ratio tracking system, and adopt the method of establishing the track and route correlation model under the evidence reasoning framework, The construction methods of the basic confidence assignment of distance and heading based on probability distribution function and the basic confidence assignment of chord length based on linear function are given, and the three evidences are fused at each moment by using the evidence combination method based on evidence distance and contradictory factors

Images