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Pseudo-measurement-based asynchronous track fusion algorithm with feedback maneuvering target

A technology for maneuvering target and track fusion, applied in computing, special data processing applications, instruments, etc., can solve the problems of high sensor requirements and difficult application in practice, and achieve the effect of excellent tracking accuracy

Active Publication Date: 2018-03-23
CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
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Problems solved by technology

The above work requires a high frequency ratio between sensors, which is difficult to apply in practice.

Method used

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  • Pseudo-measurement-based asynchronous track fusion algorithm with feedback maneuvering target
  • Pseudo-measurement-based asynchronous track fusion algorithm with feedback maneuvering target
  • Pseudo-measurement-based asynchronous track fusion algorithm with feedback maneuvering target

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Embodiment Construction

[0027] In the distributed fusion infrastructure, the sensors independently filter to generate local tracks, and the fusion center performs fusion after obtaining the tracks. According to whether the fusion center uses the fusion result of the previous fusion time and whether the fusion center feeds back data to the sensor end, the distributed The formula fusion structure is divided into four types: no track memory and no feedback, no track memory and feedback, track memory and no feedback, and track memory and feedback. The essence is to use the previous moment The fusion track information of the sensor can improve the fusion accuracy, and the use of the fusion structure with feedback information can improve the local track accuracy of the sensor. The present invention improves the overall accuracy of the algorithm by introducing a fusion structure with feedback, so that it can achieve better results in multi-sensor maneuvering target tracking. The central filter obtains the m...

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Abstract

The invention discloses a pseudo-measurement-based asynchronous track fusion algorithm with a feedback maneuvering target. Firstly, input interaction is carried out on a model set, and the filtering initial value of each model is calculated according to the model probability and the model transfer probability; secondly, a fusion center calculates one-step prediction values on the basis of the Kalman filtering algorithm, after new sensor measurement information in the filtering period is obtained, the one-step prediction values are distributed in a time shaft sequence, recurrence is conducted on a fusion moment, information such as sensor observation matrixes, noise and model prediction are added, and asynchronous track fusion is conducted; thirdly, secondary filtering is carried out for calculating model output, output interaction is performed in the fusion center to obtain a fusion center estimated value and an estimation error matrix, and the fusion center estimated value and the estimation error matrix are fed back to a sensor according with feedback conditions. The overall precision of the algorithm is improved by introducing a fusion structure with feedback so that a better effect can be achieved in multi-sensor maneuvering target tracking.

Description

technical field [0001] The invention relates to a pseudo-measurement-based asynchronous track fusion algorithm of a maneuvering target with feedback in a multi-sensor detection system, and relates to the fields of maneuvering target tracking, asynchronous track fusion, information feedback and the like. Background technique [0002] Object tracking refers to the processing of measurements from an object in order to maintain an estimate of the object's current state. Under the current technical conditions, measurement information can be obtained through various detection methods such as radar, infrared, and visible light. However, due to the objective influence of the sensor's own technology, design principles, and detection environment, the measurement information often contains a large amount of random noise. The target tracking technology eliminates the influence of random noise through the prior model information of the filter, and the ultimate goal is to obtain a more ac...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 黄大羽蔡云泽吴建民刘博
Owner CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
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