Chengxin Ran

ORCID: 0000-0003-1990-1995
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About
Contact & Profiles
Research Areas
  • GNSS positioning and interference
  • Geophysics and Gravity Measurements
  • Ionosphere and magnetosphere dynamics
  • Inertial Sensor and Navigation
  • Image Processing Techniques and Applications
  • Privacy-Preserving Technologies in Data
  • Structural Health Monitoring Techniques
  • Cell Image Analysis Techniques
  • Underwater Vehicles and Communication Systems
  • Target Tracking and Data Fusion in Sensor Networks
  • Mobile Crowdsensing and Crowdsourcing
  • Soil Moisture and Remote Sensing
  • Cryptography and Data Security
  • Medical Imaging Techniques and Applications

Sun Yat-sen University
2021-2023

National University of Defense Technology
2019

The application of strap-down inertial navigation system/long baseline system (SINS/LBL) has been proven to be an effective method solve the accumulated position error autonomous underwater vehicles (AUVs). However, height positioning in SINS/LBL is generally unstable. Acoustic differential technology uses single- or double-difference mode weaken influence errors on signal propagation time, but vertical result this Moreover, accumulative will cause diverge over time. In view situation that...

10.1109/tim.2022.3160527 article EN IEEE Transactions on Instrumentation and Measurement 2022-01-01

Crowdsourcing outsources work to a community of people voluntarily contribute their time finish tasks which were done by employees. The advantages crowdsourcing are low-cost production, the synchronization resources, improved production efficiency and catering customers' demand. Current schemes face many challenges. One problem is that highlighting match interest keywords with workers but less consideration on capability. As result, quality sacrificed. Another challenge how protect privacy...

10.1109/cisce.2019.00034 article EN 2019-07-01

Abstract Ionospheric delay is one of the major error sources in global navigation satellite system (GNSS) single point positioning (SPP). Some empirical models have been proposed to correct ionospheric delay, which, however, are limited by low accuracy. The single-point time-series-based total electron content (TEC) forecast method theoretically introduces model and accumulation increases during a day. Therefore, based on regular variation characteristics ionosphere, improve accuracy we...

10.21203/rs.3.rs-1820577/v1 preprint EN cc-by Research Square (Research Square) 2022-07-13
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