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Multi-sensor cooperative tracking joint optimization decision method

A multi-sensor and decision-making method technology, which is applied in the directions of instruments, radio wave reflection/re-radiation, electromagnetic wave re-radiation, etc., can solve problems such as complex and complicated decision-making space, achieve good optimization results, minimize response time, and optimize The effect of comprehensive use

Active Publication Date: 2019-01-01
10TH RES INST OF CETC
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Problems solved by technology

The decision space becomes more complex when targets are present together with disturbances and machine noise, and the problem is further complicated when the dynamics of the data over time are also considered

Method used

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Embodiment Construction

[0018] refer to figure 1 . According to the present invention, the multi-sensor cooperative tracking system first needs to calculate the fusion tracking error of the multi-sensor cooperative tracking to the target, and the tracking and positioning error of the local radiation source being detected by the opponent's aircraft; In the process of fusion tracking error, the multi-sensor cooperative tracking system predicts the radar sensor target position information, the infrared sensor target position information and the multi-sensor fusion measurement information in the decision cycle, and fuses the radar sensor, infrared sensor and multi-sensor. Obtain the fusion measurement state and its fusion measurement covariance at the time of the decision-making cycle, and use the multi-source data fusion algorithm to calculate the fusion tracking error of the multi-sensor cooperative tracking to the target; in the multi-sensor cooperative tracking system, it is estimated that the radiat...

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Abstract

The invention discloses a multi-sensor cooperative tracking joint optimization decision method and aims at providing the optimization decision method with high calculating efficiency and an accurate optimization decision parameter. The method is characterized by predicting the target position information and the fusion measurement information of a sensor in a decision period by a multi-sensor cooperative tracking system, and obtaining the fusion measurement state of a decision cycle moment and a fusion measurement covariance; using multi-source data fusion algorithm to calculate the fusion tracking error of multi-sensor cooperative tracking to a target; according to local aircraft navigation information and radar detection information to the target, calculating the azimuth and the pitch angle of a local radiation source relative to the other aircraft and the tracking and positioning error of the local radiation source detected by the other aircraft; taking the fusion tracking error ofmultiple sensors to the target as a constraint condition and taking a target matching relationship and the like as an optimization decision parameter; establishing a multi-stage and multi-constrainedcooperative tracking decision model; and solving a multi-stage sensor optimization decision and the optimization decision parameter.

Description

technical field [0001] The invention relates to a method applied in the field of airborne multi-sensor cooperative tracking, in particular to a method for optimizing the decision-making of multi-sensor cooperative sensor combination mode, sensor and target pairing relationship and sensor switching sequence in the process of multi-sensor cooperative target tracking. Background technique [0002] One of the core technologies in vehicle GPS satellite navigation, video security monitoring system in public places, and machine vision in industrial production is multi-sensor and multi-target tracking technology. With the vigorous development of information technology, multi-sensor multi-target tracking technology has been widely used in many fields. In recent years, the research field of multi-sensor multi-target tracking technology has been widely concerned by scholars at home and abroad. With the continuous improvement of target maneuverability and electronic countermeasure capa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/88G01S17/88
CPCG01S13/88G01S17/88
Inventor 赖作镁古博乔文昇
Owner 10TH RES INST OF CETC
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