FocusPOD

Overview

Proprietary solution for Precise Orbit Determination (POD) and Geodesy

FocusPOD is powered by GMV MAORI ®, a new GMV Flight Dynamics and Geodesy library, written in C++ and Python.

It provides Precise Orbit Determination (POD) tools to deliver the most accurate solutions.
It supports simulation, processing, quality control, and analysis, making it in an end-to-end tool capable of supporting design, testing, and operations.

FocusPOD is part of GMV’s FocusSuite family of products.

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Highlights

Operational use in the Copernicus POD Service

Sub-centimeter accuracy in LEO

High performance

POD in less than 5 min

Features

Capabilities

LEO GNSS POD

FocusPOD provides high-precision, high-performance orbit and clock determination of LEO satellites, using GNSS data.

It implements state-of-the-art orbit and observation modeling, to achieve the highest accuracies.
Its high-performance design makes it possible to obtain near-real-time solutions in a matter of minutes.
Its flexible design allows to adapt to the needs of each customer (ad-hoc vs. as-a-service processor, one vs. multiple satellites, etc.)

Quality Control

FocusPOD allows the quality of POD products to be assessed using a variety of strategies, including:

The generation of combined orbital solutions for reference.
Time-series comparisons.
GNSS / SLR residual analysis.
Geographical error plotting.
Spectral error analysis.

SLR processing

FocusPOD processes SLR data for:

Quality control of orbital products through SLR residual analysis.
SLR range bias estimation.
POD using SLR data, both with and without GNSS data.

GNSS Sensor Performance

FocusPOD enables the assessment of GNSS receiver and antenna performance, including:

Tracking analysis: sky-plots, histograms, and time series.
Signal strength.
Dilution of precision (DOP).
GNSS ultra stable frequency.
Estimation of antenna phase center variation (PCV).

Simulation

FocusPOD can simulate orbits, clock biases, satellite´s attitudes, and GNSS observations to determine the expected performance of a future mission, making it a realistic, end-to-end analysis tool.