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Core Features

Magical Module

AI Data Correction Algorithm Module

Utilizing an XGBoost model, this module employs AI tools to comprehensively train and fine-tune large-scale pre-data sets, generating data correction functions. This process effectively enhances real-time fix verification success rates by at least 18%.

Magical Module

Partial Ambiguity Resolution Algorithm Module

Implementing the lambda algorithm for fix solutions, this module performs up to ten intelligent satellite exclusion operations based on actual signal conditions, further improving fix rates.

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EFFICIENT / COMPREHENSIVE / PRECISE

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Brief Introduction

The MATRIX algorithm is driven by a “data-driven” philosophy, integrating mainstream spatial sensing technologies such as GNSS and IMU to build a comprehensive algorithm set and optimization platform with the core advantages of EFFICIENT (optimize iteration efficiency), COMPREHENSIVE (module parameter construction) and PRECISE (final results).

In dynamic mode/ scenario, it meets the continuous precise positioning needs of intelligent driving and drones;

In static mode/ scenario, it fulfills the real-time surveying and mapping, and post-processing monitoring requirements for single-point precise positioning.

The MATRIX algorithm comprises three main modules: the RTK Algorithm Module, the PVT Algorithm Module, and the Integrated Algorithm Module (GNSS+IMU).

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RTK Algorithm Module

The RTK algorithm employs machine learning algorithms to address traditional technical challenges, achieving scene-adaptive recognition, AI satellite selection, and ambiguity validation. It utilizes carrier phase observations from base stations and mobile stations to achieve high-precision position solutions.

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PVT Algorithm Module

The PVT algorithm utilizes multi-frequency non-combined updates, combining prior and posterior information to maximize information utilization. It also employs INS multi-directional assistance for GNSS and achieves parameter adaptive optimization in different scenarios, providing strong support and assurance for subsequent RTK algorithms.

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Integrated Algorithm Module

The integrated navigation algorithm employs a multi-level fusion positioning architecture, robust filter design, adaptive sensor fusion, and fault diagnosis mechanism to achieve precise estimation of position, velocity, and attitude.

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Exceptional Algorithms for Precision, Reliability, and Ease

With Matrix, you gain unparalleled precision, unwavering reliability, and effortless ease of use.
Choose Matrix for a seamless blend of innovation and performance.