Correction Strategy of Mortars with Trajectory Correction Fuze Based on Image Sensor

Li, Rupeng; Li, Dongguang; Fan, Jieru

doi:10.3390/s19051211

Cited by 9 publications

(11 citation statements)

References 27 publications

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“…The aft part is shown in purple, which is used to screw onto the projectile. The more detailed structures of the fuze are mentioned in reference [2], which mainly include the transmission and fixing method of the motor and gear. This mechanism is used to transmit the driving moment from the motor in aft fuze.…”

Section: General Workflow Of the Fuzementioning

confidence: 99%

“…Therefore, the installation of a fuze with an infrared image sensor can not only improve attack accuracy, but also meet different mission requirements, which has received much attention. Li [2][3][4] proposed a novel trajectory correction fuze based on an image sensor. Then, the correction strategy of mortars was studied to improve the attack accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Mechanical and Electronic Video Stabilization Strategy of Mortars with Trajectory Correction Fuze Based on Infrared Image Sensor

Zhang

2020

Sensors

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For a higher attack accuracy of projectiles, a novel mechanical and electronic video stabilization strategy is proposed for trajectory correction fuze. In this design, the complexity of sensors and actuators were reduced. To cope with complex combat environments, an infrared image sensor was used to provide video output. Following the introduction of the fuze’s workflow, the limitation of sensors for mechanical video stabilization on fuze was proposed. Particularly, the parameters of the infrared image sensor that strapdown with fuze were calculated. Then, the transformation relation between the projectile’s motion and the shaky video was investigated so that the electronic video stabilization method could be determined. Correspondingly, a novel method of dividing sub-blocks by adaptive global gray threshold was proposed for the image pre-processing. In addition, the gray projection algorithm was used to estimate the global motion vector by calculating the correlation between the curves of the adjacent frames. An example simulation and experiment were implemented to verify the effectiveness of this strategy. The results illustrated that the proposed algorithm significantly reduced the computational cost without affecting the accuracy of the motion estimation. This research provides theoretical and experimental basis for the intelligent application of sensor systems on fuze.

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Section: General Workflow Of the Fuzementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mechanical and Electronic Video Stabilization Strategy of Mortars with Trajectory Correction Fuze Based on Infrared Image Sensor

Zhang

2020

Sensors

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“…The former is used to determine the control force direction, and the latter is used to determine the correction duration according to various needed miss distance. More details of the new correction strategy can be found in reference [21]. In this paper, we pay more attention on the dynamic response for the projectile under terminal control with limited time-to-go.…”

Section: B Flight Model Of the Projectile Under Controlmentioning

confidence: 99%

Dynamic Response Analysis for a Terminal Guided Projectile With a Trajectory Correction Fuze

Fan

2019

IEEE Access

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Successful terminal correction without an attitude feedback loop is a challenging task. Much innovative effort is required to achieve a balance between performance and affordability. This paper presents a unique trajectory correction fuze with a reduced number of sensors and actuators. A rapidly calculable analytical dynamic response model for the terminal control force is derived, in which the oscillation part is emphasized because of the limited time-to-go. The accuracy and effectiveness of the analytical model are verified by comparison with 6DOF nonlinear simulations. The influences of the velocity, rotation rate, and pitch on the dynamic response during terminal correction are subsequently investigated using the analytical model. To enable a deep investigation of stability under terminal control with a trajectory correction fuze, the Routh stability criterion is considered to define the necessary prerequisites for stable flight. The validity of the derived instability boundaries is demonstrated through numerical simulations.

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“…At present, the forward-looking infrared sensor (FLIR) adopts the superior microbolometer with the noise equivalent temperature difference (NETD) of 50 Mk, the pixel pitch of 12 μm and wavelength of 3–14 μm. In previous research, the authors of [ 5 ] designed a correction fuze and reserved space for an infrared image sensor. However, the important parameters of the sensor were not calculated.…”

Section: Introductionmentioning

confidence: 99%

“…The comprehensive performance is better than the existing methods. Our main contributions include: On the basis of [ 5 ], the main parameters of the infrared image sensor were selected, and then the correctness was verified through outdoor experiments. Inspired by filtering methods, we proposed a novel two-dimensional density-distance space to obtain the density peak pixels by full use of image information.…”

Section: Introductionmentioning

confidence: 99%

Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor

Zhang

et al. 2021

Sensors

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Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption.

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Correction Strategy of Mortars with Trajectory Correction Fuze Based on Image Sensor

Cited by 9 publications

References 27 publications

Mechanical and Electronic Video Stabilization Strategy of Mortars with Trajectory Correction Fuze Based on Infrared Image Sensor

Mechanical and Electronic Video Stabilization Strategy of Mortars with Trajectory Correction Fuze Based on Infrared Image Sensor

Dynamic Response Analysis for a Terminal Guided Projectile With a Trajectory Correction Fuze

Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor

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