MATRIX ALGORITHM

Algorithmic Magic to Enhance ‘Precision, Reliability, and Ease’, for an Exceptional User Experience.

Core Features

Super-high Fix Rate

99.9%

Our product achieves exceptional positioning accuracy.

On average, only 1 out of every 1,000 positioning attempts,

This precision ensures unparalleled reliability for critical applications.

*Fix rate and accuracy can be affected by external conditions such as multipath, obstacles, satellite geometry, and atmospheric conditions.

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.

EFFICIENT / COMPREHENSIVE / PRECISE

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).

COMPREHENSIVE

500+

Algorithm Modules

COMPREHENSIVE

3,000+

Algorithm Parameters

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.

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.

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.

Discover Excellence

Contact us for Your Precision Solutions

Looking for reliable precision solutions?
Contact us today to learn more about our innovative products and dedicated customer support, tailored to meet your specific needs.

PRECISE social media:

PRECISE Sales Team: sales@precise-geo.com or clik

PRECISE Tech Team: support@precise-geo.com or clik

PRECISE Marcom Team: marcom@precise-geo.com or clik

FAQs

What is the PRECISE MATRIX algorithm platform?

PRECISE MATRIX is an advanced GNSS signal processing and data correction platform that powers all PRECISE products. It combines an AI Data Correction Algorithm Module (using XGBoost machine learning) and a Partial Ambiguity Resolution Module to deliver industry-leading fix rates and positioning accuracy under challenging real-world conditions.

How does the AI Data Correction Algorithm Module improve positioning?

The AI Data Correction Module uses XGBoost gradient boosting models trained on large-scale GNSS observational datasets to identify and correct systematic biases in real-time measurements. This AI-enhanced processing improves real-time fix verification success rates by at least 18% compared to conventional GNSS processing methods.

What is Partial Ambiguity Resolution and why does it matter?

Partial Ambiguity Resolution (PAR) uses the LAMBDA algorithm to achieve RTK fixed solutions even when full ambiguity resolution is difficult due to poor satellite geometry or signal obstruction. MATRIX performs up to ten intelligent satellite exclusion iterations based on actual signal conditions, improving fix rates in urban canyons, forests, and construction sites.

How does MATRIX improve positioning in degraded GNSS environments?

MATRIX continuously evaluates satellite signal quality, applies AI-driven corrections to remove multipath and atmospheric bias, and selects the optimal satellite subset for ambiguity resolution. This multi-layer processing maintains high fix rates even when a significant portion of GNSS signals are obstructed or degraded.

Which PRECISE products benefit from the MATRIX algorithm?

The MATRIX algorithm is integrated across the full PRECISE product line: RTK receivers (X, X7, X7 Lite), reference stations (PRECISE C, BASE2), antennas (AN2, AN4), autopilot systems (A, A2, A Pro), machine control (E2), total station (T3), and 3D LiDAR scanners (S2, S7). All products display the “Enhanced by the MATRIX ALGORITHM” designation.

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.

BECOME DEALER >