A5057296867- Inertial Sensor and Navigation
- GNSS positioning and interference
- Geophysics and Gravity Measurements
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Indoor and Outdoor Localization Technologies
- Target Tracking and Data Fusion in Sensor Networks
National University of Defense Technology
2024
China Academy of Space Technology
2021
As a pilot mission for the Chinese global navigation satellite system reflectometry (GNSS-R) constellation, BuFeng-1 (BF-1) twin satellites A/B were launched on June 5th, 2019. Using three-month of sample data, this study presents first evaluation soil moisture (SM) estimations. The results show that surface reflectivity (SR) derived from BF-1 bistatic radar cross section (BRCS) correlates well with SM active passive (SMAP) (mean <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
At present, vehicle-borne gravity measurement mainly focuses on scalar, and vector has not been developed due to the limitation of attitude accuracy, velocity accuracy acceleration accuracy. In this paper, aiming at problems encountered in traditional measurement, combined with high precision Strapdown Inertial Navigation System (SINS) Laser Doppler Velocimeter (LDV) by our team, a method based SINS/GNSS/LDV integrated navigation is proposed. By analyzing error model, requirements device are...
As an effective tool for refining local gravity data with mGal accuracy, vehicle gravimetry system usually consists of Strapdown Inertial Navigation System (SINS) and Global Satellite (GNSS). However, the traditional is unable to achieve in environment without GNSS signal dues heavy dependence on signal. To solve this problem, study proposed a method specifically signal, which high-precision Laser Doppler Velocimeter (LDV) developed by our unit. Based error analysis, index requirements were...
In the field of unmanned aerial vehicle (UAV) control, high-precision navigation algorithms are a research hotspot. To address problem poor localization caused by non-line-of-sight (NLOS) errors in ultra-wideband (UWB) systems, an UWB/MIMU integrated method was developed, and particle filter (PF) algorithm for data fusion improved upon. The extended Kalman (EKF) used to improve constructing importance density function (IDF) traditional PF, so that sampling process fully considers real-time...