GNSS Articles - Boardor

MATLAB Routine for Integrated Navigation: CKF Filtering on a 2D Plane, Fusing IMU and GNSS Data, Simulation with Observations on X and Y Axes

2026-06-09 by boardor

Using an 8-dimensional state model, it comprehensively describes position, velocity, attitude, and sensor biases in planar motion. The Cubature Kalman Filter is employed to handle nonlinear problems, offering better numerical stability and accuracy compared to traditional EKF, effectively fusing IMU and GNSS data to fully leverage the complementary advantages of both sensors. Table of Contents … Read more

EKF Combined Navigation Example: MATLAB Code for 15-Dimensional State and 3-Dimensional Observation

2026-05-30 by boardor

The EKF example for three-dimensional state (strict derivation of combined navigation). Based on a 15-dimensional error state model: position (3), velocity (3), attitude (3), gyroscope bias (3), accelerometer bias (3). The observation is three-dimensional position (there is also a program for three-dimensional position + velocity as observations). Article Directory Program Introduction Three-Dimensional EKF Combined Navigation … Read more

Arduino Positioning Navigation: GPS Positioning Module

2026-05-29 by boardor

Arduino Sensor: HS-S01A Infrared SensorArduino Sensor: HS-S02P Infrared Sensor (Obstacle Avoidance)Arduino Sensor: HS-S03P Ultraviolet SensorArduino Sensor: HS-S05P Sound SensorArduino Sensor: HS-F07P Active BuzzerArduino Sensor: HS-F02P Passive BuzzerArduino Sensor: HS-S08P Flame SensorArduino Sensor: HS-S09LB Raindrop SensorArduino Sensor: HS-S09PC Soil Moisture Sensor Arduino Sensor: HS-S10P Mist Sensor Arduino Sensor: HS-S11-L Gas Sensor Arduino Sensor: HS-S20P Ambient Light … Read more

3D State Combination Navigation Based on CKF: Integrating GNSS and IMU with Observations of Three-Axis Position and Velocity, 15-Dimensional State Variables, Code Download Link

2026-05-12 by boardor

The simulation of 3D state combination navigation uses the Cubature Kalman Filter (CKF) for nonlinear filtering. The state model consists of 15-dimensional error states, and the observation model includes 6-dimensional GNSS observations (position + velocity). Article Directory Program Introduction Running Results MATLAB Source Code Program Introduction This program implements a 3D state combination navigation simulation, … Read more

UKF-Based Combined Navigation with 8-Dimensional State and XY Coordinate Observations in MATLAB

2026-05-06 by boardor

The code implements a two-dimensional combined navigation system based on the Unscented Kalman Filter (UKF), integrating data from the Inertial Measurement Unit (IMU) and the Global Navigation Satellite System (GNSS). This system employs an 8-dimensional error state model to estimate the carrier’s position, velocity, attitude, and sensor biases in real-time. Program Overview System Overview IMU … Read more

Member Information: ChipXunTong Intelligent Dual Solutions: Empowering Smart Cash Registers and Accelerating Retail Digitalization

2026-05-05 by boardor

In today’s era of widespread mobile payments and the accelerated integration of omnichannel retail, Electronic Cash Registers (ECR) have evolved from a single payment tool to an intelligent terminal that integrates transaction processing, inventory management, and customer interaction. Faced with the complex retail scenarios in China—from high-concurrency payments during peak hours in convenience stores to … Read more

Electronic Warfare on the Battlefield: GPS Signal Interference in the Russia-Ukraine War

2026-04-20 by boardor

Why are some US-made weapons that rely on the Global Positioning System experiencing electronic interference?In May 2024, some weapons provided by the US to Ukraine are losing effectiveness. The precision of systems like BAE Systems/Raytheon’s M982 “Excalibur” 155mm artillery shell and Lockheed Martin’s M142 HIMARS (High Mobility Artillery Rocket System) has diminished. Both of these … Read more

Professor Li Xingxing: Multi-GNSS Real-Time Precise Positioning and Its Low Orbit Enhancement

2026-04-16 by boardor

Click the blue font “Wisdom World” in the upper left to subscribe (Click the image to enlarge, for more exciting content please pay attention to the recommendations at the end) Reprinting this article requires permission from Professor Li Xingxing and “Wisdom World”. Please do not infringe, thank you. Recommended Reading Click the titles below to … Read more

Strict Derivation of 2D Integrated Navigation Using MATLAB: Simulating UKF (Unscented Kalman Filter) Fusion of IMU and GNSS with Complete Code

2026-02-08 by boardor

The program fully demonstrates the modeling and implementation of UKF in 2D plane for IMU+GNSS integrated navigation, clearly illustrating the filtering effect against sensor noise and drift. Table of Contents Program Overview Program Introduction Core Steps Program Functionality Results MATLAB Source Code Program Overview Program Introduction This program implements a simulation of Unscented Kalman Filter … Read more

Centimeter-Level Positioning Revolution: How PPP-IAR, PPP-RTK, and Kepler WAPPS Reshape Global High-Precision Positioning

2026-01-08 by boardor

From “Base Station Walls” to “Satellite-Based Territories” – The Global Centimeter-Level Positioning Supremacy of WAPPS-PPP-IAR is Established. The global high-precision positioning field is undergoing a profound technological transformation and industrial restructuring. In the face of the limitations of traditional positioning technologies in terms of coverage, accuracy, and scene adaptability, Kepler Satellite has successfully developed and … Read more