Zhehan Liu

ORCID: 0009-0002-9314-0506
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About
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Research Areas
  • Satellite Communication Systems
  • Underwater Acoustics Research
  • Wireless Communication Networks Research
  • Advanced Wireless Network Optimization
  • Geophysical Methods and Applications
  • Seismic Waves and Analysis
  • Seismology and Earthquake Studies
  • Spacecraft Design and Technology
  • Seismic Imaging and Inversion Techniques
  • Advanced Manufacturing and Logistics Optimization
  • Vehicle Routing Optimization Methods
  • Advanced Computational Techniques and Applications
  • Advanced Algorithms and Applications
  • UAV Applications and Optimization
  • Optimization and Packing Problems
  • Underwater Vehicles and Communication Systems

National University of Defense Technology
2024

Beijing Institute of Big Data Research
2021

The Comprehensive Nuclear Test Ban Treaty (CTBT) organization has established a hydroacoustic network to ensure the effective detection of nuclear explosions in vast ocean and atmosphere over it order effectively guarantee implementation treaty. To assess its effectiveness, according reciprocity underwater acoustic field, this study employs hydrophone position as central sound source utilizes parabolic equation, along with seabed topography velocity profile data, estimate transmission loss....

10.1155/2024/2499939 article EN cc-by Shock and Vibration 2024-01-01

Underwater nuclear explosions can be monitored in near real‐time by the hydroacoustic network of International Monitoring System (IMS) established Comprehensive Nuclear‐Test‐Ban Treaty (CTBT), which could also used to monitor underground and atmospheric explosions. The equivalent is an important parameter for explosions’ monitoring. traditional estimation method calculate bubble pulsation period, difficult obtain satisfactory results under current conditions. In this paper, based on passive...

10.1155/2021/1933744 article EN cc-by Shock and Vibration 2021-01-01

The purpose of seismic data processing in nuclear explosion monitoring is to accurately and reliably detect or events from complex ambient noises. Accurate detection identification phases are great significance the parameter estimation events. In phase identification, discriminating between noise signals real essential. helps reduce false detections, improves accuracy automatic bulletins, relieves workload analysts. At same time, exploration, prime objective also enhance signal suppress this...

10.3390/app11219987 article EN cc-by Applied Sciences 2021-10-25

On the temporal spectrum diagram, underwater explosion signals recorded by hydroacoustic stations of International Monitoring System (IMS) are distinguished sharp initial arrivals and rich high-frequency components, as well evident frequency modulation features. Feature parameters, such time-frequency characteristics, energy etc. flphase T-phase land coupled acoustic extracted criteria for signal recognition classification. basis traditional Probabilistic Neural Network, Seagull Optimization...

10.1109/isctech60480.2023.00081 article EN 2023-07-30
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