Changyu Zhou

ORCID: 0000-0002-4788-9885
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About
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Research Areas
  • Geophysical Methods and Applications
  • Underwater Acoustics Research
  • Arctic and Antarctic ice dynamics
  • Seismic Waves and Analysis
  • Planetary Science and Exploration
  • Speech and Audio Processing
  • Indoor and Outdoor Localization Technologies
  • Robotics and Sensor-Based Localization
  • Astro and Planetary Science
  • Soil Moisture and Remote Sensing
  • Direction-of-Arrival Estimation Techniques
  • Cryospheric studies and observations
  • Advanced SAR Imaging Techniques
  • Microwave Imaging and Scattering Analysis

Tongji University
2024

Tohoku University
2019-2023

Abstract Underground lava tubes are promising candidates for the construction of lunar bases because they believed to offer good protection against radiation and harsh thermal environments on surface. Although extent structures underground uncertain, previously identified “skylights”, represent places where tube roofs have collapsed, may provide insights into structures. Unfortunately, owing steep slopes, considerable depth, associated difficult illumination conditions, availability detailed...

10.1029/2024ea003532 article EN cc-by-nc-nd Earth and Space Science 2024-11-01

This letter proposes a multiple signal classification (MUSIC)-based algorithm to generate super-resolution velocity-depth spectrum for precise subsurface multilayer analysis, which cannot be achieved by conventional Common MidPoint (CMP) analysis. A self-adaptive peak detection process and MUSIC with modified steering matrix are the key components of proposed method. Both numerical simulation experimentation used verify feasibility this study. Regarding both accuracy resolution, results show...

10.1109/lgrs.2023.3235363 article EN IEEE Geoscience and Remote Sensing Letters 2023-01-01

This paper presents an optimization-based approach to overcome redundancy arising from the multi-variables enumeration process in Multiple Signal Classification (MUSIC). By incorporating BFGS optimization, computational speed of MUSIC algorithm is significantly improved while maintaining mathematical accuracy. The optimization techniques require reasonable initial values start iteration, for single target imaging purposes, can be acquired by boundary between near field and far field. To...

10.1109/jstars.2024.3357831 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024-01-01

Frozen river is a universal phenomenon during the winter season in northern China. It significantly impacts water conservancy, hydro-power and transportation that can cause causalities loss of property. Therefore, continuous detection for ice thickness frozen mastering rule structure are important. In this paper, type fixed position hanging radar equipment designed with auto horizontal layer tracing technology combined to realize efficient rapid measurement thickness. This provides basic...

10.1109/apcap47827.2019.9471990 article EN 2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP) 2019-08-04

An optimized MUSIC (MUtilple SIgnal Classification) is proposed, basing on Simplex search method. It can largely improve the scan speed of conventional and avoid singularity Hessian matrix gradient based optimization methods. also provides possibility to distinguish coherent signal with acceptable time cost, in this case, we proposed an enumeration coherence solver. Both simulations experiments are carried out for RF localization purposes. The results shows that methods has faster...

10.1587/comex.2021spl0030 article EN IEICE Communications Express 2021-05-13
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