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Weighted sliding window method for asynchronous track association

A track association and track technology, which is applied in complex mathematical operations, instruments, characters and pattern recognition, etc., can solve the problems of increased offset, performance degradation of track association methods, estimation errors, etc., and achieves high accuracy and engineering. Strong applicability and less time-consuming effect

Active Publication Date: 2020-05-05
NAVAL AVIATION UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of time-domain registration, due to the estimated and deduced processing of the track, the deviation between the estimated track value and the real position of the target is exacerbated, resulting in estimation errors
However, as time goes by, the estimation errors continue to accumulate, which eventually leads to a sharp decline in the performance of the track correlation method

Method used

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  • Weighted sliding window method for asynchronous track association
  • Weighted sliding window method for asynchronous track association
  • Weighted sliding window method for asynchronous track association

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Embodiment

[0063] Assume that the starting area of ​​the target is a rectangular area of ​​[20km, 80km]×[20km, 80km], and the target moves in a straight line at a uniform speed. The target starting speed is 200-400m / s, the target starting direction is 0-2π, and the target batch is 3. Sensor A starts up 0.2s later than sensor B, and both sensors have a random error of 50m and 0.5°. The sampling period of sensor A is 1.4s, the sampling period of sensor B is 0.6s, and the information fusion period is 4.2s. The patented method is used to calculate the similarity, and correlate the tracks from the two radars respectively.

[0064] By adopting the correlation method proposed by the present invention, the above-mentioned design requirements can be implemented according to the following technical measures.

[0065] First read the data from the two radars:

[0066] In the 20th fusion cycle, compare the third reference track with all other comparison tracks, the reference track 3 and the compar...

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Abstract

The invention discloses a weighted sliding window method for asynchronous track association, and relates to a multi-sensor asynchronous track association method. According to the invention, an asynchronous track association problem is converted into a broken line segment similarity solving problem with different endpoint numbers, and the method comprises the steps of: dividing a reference flight path into a plurality of window flight path sequences; establishing a sliding window model, traversing a comparison track, further solving the similarity of unequal-length sequences of a plurality of sliding windows, taking the similarity as a difference information measurement parameter between a reference track and the comparison track, then measuring the information difference between the tracksby adopting a grey correlation analysis theory, and finally solving the grey correlation degree through weighting to realize track correlation.

Description

technical field [0001] The invention relates to an asynchronous track association method of a distributed multi-sensor multi-target tracking system. Background technique [0002] In the information fusion process of distributed multi-sensor systems, track correlation is one of the key issues in distributed multi-sensor target tracking systems. In reality, due to the asynchronous start-up of sensors, different sampling periods, and delays in information transmission and communication, the tracks received by the information fusion center are often asynchronous, which brings great difficulties to the track correlation problem. [0003] Most of the classic asynchronous track correlation methods use methods such as interpolation and extrapolation to register the asynchronous tracks to the same time, and then use the classic track correlation algorithm for correlation. However, in the process of time-domain registration, due to the estimated and extrapolated processing of the tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/16
CPCG06F17/16G06F18/22G06F18/25Y02D30/70
Inventor 衣晓周威杜金鹏舒益群
Owner NAVAL AVIATION UNIV