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2023 Vol. 49, No. 2

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Volume 2 Issue E-journal
Volume 49 Issue22023
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NNS distributed fusion estimator under multiple network constraints
ZHAO Guorong, GU Haolun, HAN Xu, GAO Chao
2023, 49(2): 229-241. doi: 10.13700/j.bh.1001-5965.2021.0225
Abstract:

For the distributed state fusion estimation problem of networked navigation system (NNS) with random communication delay and non-fixed packet loss rate under three network constraints, namely, node measurement gain attenuation, node energy limitation and system model uncertainty, the degree of node ...

Conflict resolution strategy based on optimal dominating set of flight conflict networks
WU Minggong, BI Kexin, WEN Xiangxi, SUN Jikun
2023, 49(2): 242-253. doi: 10.13700/j.bh.1001-5965.2021.0233
Abstract:

As air traffic flow grows year by year, control pressure keeps rising and to find a resolution to flight conflict is increasingly difficult. This paper takes aircrafts as the nodes and establishes a flight conflict network based on the velocity obstacle relationship between aircrafts. Then, the conc...

Mural inpainting with generative adversarial networks based on multi-scale feature and attention fusion
CHEN Yong, CHEN Jin, TAO Meifeng
2023, 49(2): 254-264. doi: 10.13700/j.bh.1001-5965.2021.0242
Abstract:

This study proposes a deep learning model for mural restoration based on generative adversarial networks with multi-scale feature and attention fusions, addressing insufficient feature extraction and detail loss of the existing deep learning image inpainting algorithms during reconstruction. Firstly...

CFRP material detection based on improved joint sparse EIT algorithm
MA Min, YU Jie, FAN Wenru
2023, 49(2): 265-272. doi: 10.13700/j.bh.1001-5965.2021.0244
Abstract:

Aiming at the highly ill-posed problem of the application of electrical impedance tomography (EIT) to the damage detection of carbon fiber reinforced polymer (CFRP), a joint L1 and L2 norm sparse regularization functional model was proposed, and a new constraint is constructed to optimize ...

Unsteady flow characteristics of turbine rotor passage under rim seal effect
HE Zhenpeng, ZHOU Jiaxing, XIN Jia, LIU Mingyuan, LI Baichun, ZHANG Guichang
2023, 49(2): 273-283. doi: 10.13700/j.bh.1001-5965.2021.0223
Abstract:

In order to study the influence of the rim seal between the turbine wheelspace on the downstream rotor passage, numerical simulations were performed on the flow field distribution and aerodynamic loss in the turbine rotor passage when unsealed cavity, unsealed air flow and different purge flow rates...

Cooperative tactical recognition of dual-aircraft formation under incomplete information in BVR air combat
MENG Guanglei, ZHANG Huimin, PIAO Haiyin, ZHOU Mingzhe
2023, 49(2): 284-294. doi: 10.13700/j.bh.1001-5965.2021.0251
Abstract:

In the process of beyond-visual-range (BVR) air combat, due to the limitation of detection equipment performance and enemy interference, the target information is easy to get lost, which makes it difficult to identify the enemy’s cooperative air combat tactics in real time. A method of cooperative t...

An infrared small target detection network under various complex backgrounds realized on FPGA
ZHOU Hai, HOU Qingyu, BIAN Chunjiang, FENG Shuichun, LIU Yiteng
2023, 49(2): 295-310. doi: 10.13700/j.bh.1001-5965.2021.0221
Abstract:

The infrared (IR) small target detection algorithm with high detection rate, low false alarm rate and good real-time performance has important application value in the field of IR remote sensing. Traditional IR small targets detection algorithms cannot guarantee the detection performance due to the ...

An improved STPA for accurate identification of loss scenarios
ZHONG Deming, GONG Haoyuan, SUN Rui
2023, 49(2): 311-323. doi: 10.13700/j.bh.1001-5965.2021.0226
Abstract:

System-theoretic accident model and processes (STAMP), which considers system safety as an emergent property of systems, provides a more accurate accident/loss causality model for modern complex systems. System-theoretic process analysis (STPA), a new approach to risk analysis based on STAMP, is get...

Application of pulse compression technique in steel plate corrosion detection with SH guided wave EMATs
SHI Wenze, HUANG Qikai, LU Chao, QIU Fasheng, CHEN Yao, CHEN Guo
2023, 49(2): 324-334. doi: 10.13700/j.bh.1001-5965.2021.0229
Abstract:

The application of Barker code pulse compression technique in a shear horizontal (SH) guided wave electromagnetic acoustic transducer (EMAT) has significant value in engineering application as it enhances the signal-to-noise ratio (SNR) and spatial resolution of the corrosion echo detected in in-ser...

A decentralized multi-sensor fusion estimator using finite memory buffers
HAN Xu, WANG Yuanxin, CHENG Xianchao, WANG Xiaofei
2023, 49(2): 335-343. doi: 10.13700/j.bh.1001-5965.2021.0240
Abstract:

Decentralized fusion estimation is investigated for a networked uncertain stochastic system with stochastic delays and dropouts. The uncertainty of the model is described by non-Gaussian non-white noise perturbations considered in the system matrix. Several finite memory buffers with different lengt...

Trajectory optimization of air-to-surface missile in full airspace based on combinational optimization algorithm
ZHU Wensheng, LYU Xianjing, HOU Zhenqian, ZHANG Shunjia, BI Peng, ZHONG Kang
2023, 49(2): 344-352. doi: 10.13700/j.bh.1001-5965.2021.0252
Abstract:

To deal with the problem of trajectory optimization for the air-to-surface missile in full airspace, a combinational optimization algorithm based on a multi-island genetic algorithm (MIGA) and sequential quadratic programming (SQP) was proposed. The advantages of being insensitive to initial values ...

Fast stability analysis method for composite panel with variable angle tow fiber
WANG Zexi, WAN Zhiqiang, WANG Xiaozhe, YANG Chao
2023, 49(2): 353-366. doi: 10.13700/j.bh.1001-5965.2021.0259
Abstract:

Benefiting from the curved fibre paths, variable-angle-tow (VAT) fibre composites feature a larger design space than traditional straight-fibre reinforced plastics. VAT fiber composite has better in-plane stability than the straight fiber, hence it has a higher buckling resistance potential at the s...

Design and simulation of detector for outer heliosphere pickup ions
GAO Tianfeng, KONG Linggao, SU Bin, ZHANG Aibing
2023, 49(2): 367-377. doi: 10.13700/j.bh.1001-5965.2021.0243
Abstract:

To enable the high-resolution detection of low-speed, low-density and low-temperature pickup ions (PUIs) in the outer heliosphere, a new high-resolution detector is designed based on the toroidal top-hat electrostatic analyzer, retarding potential analyzer and linear-electric-field time-of-flight an...

Influence of penetration damage on in-plane compression properties of titanium honeycomb sandwich cover structure
YANG Hao, XIE Zonghong, YANG Haibo, YUAN Peiyu, YUE Xishan, ZHAO Wei
2023, 49(2): 378-387. doi: 10.13700/j.bh.1001-5965.2021.0249
Abstract:

During the service period, penetration damage may occur in the titanium honeycomb sandwich cover structure which will affect the in-plane compression properties of the sandwich cover structure. The influence of penetration damage on the in-plane compression properties of titanium honeycomb sandwich ...

Acoustic metasurfaces for stabilization of broadband unstable modes in high speed boundary layer
WANG Weizhang, KONG Weixuan, YAN Hao, ZHAO Rui
2023, 49(2): 388-396. doi: 10.13700/j.bh.1001-5965.2021.0235
Abstract:

The influences of the admittance phase and amplitude of acoustic metasurfaces on the broadband unstable modes in a high-speed flat plate boundary layer are analyzed using linear stability theory (LST). It is demonstrated that when the admittance phase goes to 0.5 π, the first mode is suppressed whil...

Identity-based authentication key agreement protocol for horizontal federated learning environment
REN Jie, LI Meihong, DU Ye, YIN Liguanjin
2023, 49(2): 397-405. doi: 10.13700/j.bh.1001-5965.2021.0217
Abstract:

In recent years, federated learning has received extensive attention in many fields, but this technology inevitably causes data transmission security problems. However, authentication and key agreement are important to ensure secure transmission and reliable communication between communicating entit...

An adaptive noise variance based fault detection algorithm for GNSS positioning
CHEN Hanzhi, SUN Rui, QIU Ming, MAO Jizhi, HU Haoliang, ZHANG Lidong
2023, 49(2): 406-421. doi: 10.13700/j.bh.1001-5965.2021.0222
Abstract:

As actual observation noises vary in different environments, the fixed noise variance matrix may degrade the performance of the Kalman filter (KF)-based fault detection method. To deal with this issue, we proposed an adaptive noise variance-based fault detection algorithm. Its fault detection and id...

Dynamic analysis of deployment impact of trim-wing mechanism of Mars entry capsules
YANG Zhijie, WANG Gang, ZHAO Ruijie, WANG Chunjie, ZHAO Junpeng
2023, 49(2): 422-429. doi: 10.13700/j.bh.1001-5965.2021.0234
Abstract:

When a landing rover is entering the Martian atmosphere, its trim wing will be deployed from the retracted state and locked following instructions when arriving the target position. Then, the attack angle of the entry capsule will be trimmed to an appropriate range. Hence, the dynamic performance of...

Remaining useful life prediction method of rolling bearing based on Transformer model
ZHOU Zhetao, LIU Lu, SONG Xiao, CHEN Kai
2023, 49(2): 430-443. doi: 10.13700/j.bh.1001-5965.2021.0247
Abstract:

Accurate rolling bearing remaining useful life (RUL) prediction is extremely important to assure the machine’s safety and decrease damage repair. To improve the accuracy of rolling bearing RUL prediction, proposed a bearing RUL prediction method based on the Transformer model, made full use of its s...

Intelligent algorithm of warship’s vital parts detection, trajectory prediction and pose estimation
LI Chenxuan, LI Tianyu, LI Zizheng, ZENG Weigui, XU Huiqi
2023, 49(2): 444-456. doi: 10.13700/j.bh.1001-5965.2021.0253
Abstract:

Accurate detection and attack of warship’s vital parts can effectively improve the damage efficiency of anti-ship missile. Aiming at the problems of low detection accuracy on vital parts and insufficient accuracy of guidance error, this paper proposes an algorithm of warship’s vital parts detection,...

Improved peak-to-average ratio reduction method in FBMC/OQAM system
LI Lei, XUE Lunsheng, CHEN Xihong, ZOU Bing
2023, 49(2): 457-463. doi: 10.13700/j.bh.1001-5965.2021.0254
Abstract:

Aiming at the shortcomings of high peak-to-average power ratio (PAPR) in the filter bank multi-carrier system with offset quadrature amplitude modulation (FBMA/OQAM) system, which will cause distortion and affect the channel estimation performance, an interference cancellation method based on phase ...

Tropospheric scattering spectrum sensing based on sliding interception and signal correlation
MI Xinping, CHEN Xihong, LIU Qiang, CAO Yufei, ZHANG Shuang, SONG Xincheng
2023, 49(2): 464-471. doi: 10.13700/j.bh.1001-5965.2021.0255
Abstract:

To improve the performance of tropospheric scattering spectrum sensing, a spectral sensing scheme for tropospheric scattering multipath fading channels is presented. To solve the problem of poor perception of the tropospheric scattering spectrum, the time-domain diffusion characteristics of the trop...

Degradation modeling of oxygen concentrator in multiple stress coupling
PAN Jinxin, JING Bo, JIAO Xiaoxuan, WANG Shenglong, HUANG Songlin, FANG Ling
2023, 49(2): 472-481. doi: 10.13700/j.bh.1001-5965.2021.0260
Abstract:

Modeling under coupling stress is challenge in the field of fault prediction and health management. Based on the the ground degradation test of the oxygen concentrator, this research proposes a modeling framework with partial differential equations combining mechanism model and data driven model, wh...

Structural topology optimization of flying wing aircraft
WANG Yiwei, LEI Ruiwu, WANG Hui
2023, 49(2): 482-490. doi: 10.13700/j.bh.1001-5965.2021.0262
Abstract:

Flying wing aircraft will become the mainstream of future aircraft due to its high aerodynamic efficiency; however, its performance improvement is limited by structural weight. Structural optimization is an important technique to reduce structural weight. A topology optimization model is thus establ...

A low-dose CT image denoising method based on artifact estimation
HAN Xinglong, SHANGGUAN Hong, ZHANG Xiong, HAN Zefang, CUI Xueying, WANG Anhong
2023, 49(2): 491-502. doi: 10.13700/j.bh.1001-5965.2021.0263
Abstract:

Low-dose CT (LDCT) contains abundant tissue structure, pathological information and noise artifacts with extremely irregular distribution.These two different types of information have comparable amplitude distributions. Therefore, the LDCT denoising task is prone to some problems, such as insufficie...