CASTRO-5G v0.3.0 with functional ISAC 3GPP channel model and location

This Open Source repo presents a collection of 5G sparse multipath channel simulation, estimation and location signal processing tools in Python. CASTRO-5G is a repository started as a means to publish the software results of the research project Communications And Spatial Tracking RatiO (CASTRO) funded by Spanish Ministerio de Ciencia e Innovación (MICINN) - Proyectos de Generación de Conocimiento 2021 PID2021-122483OA-I00.

This release, Version 0.3.0, features the Trabajo Fin de Grado (TFG) of 5 students, which implement, a python library for user location based on multipath information , a 5G channel model generator with spatial consitency, support for mobility and ISAC first order reflections; and a multi-user link adaptation simulator with multipath channel prediction.

CASTRO-5G v0.2.0 with functional static 3GPP channel generator and IoT

This Open Source repo presents a collection of 5G sparse multipath channel simulation, estimation and location signal processing tools in Python. CASTRO-5G is a repository started as a means to publish the software results of the research project Communications And Spatial Tracking RatiO (CASTRO) funded by Spanish Ministerio de Ciencia e Innovación (MICINN) - Proyectos de Generación de Conocimiento 2021 PID2021-122483OA-I00.

This release, Version 0.2.0, features the Trabajo Fin de Grado (TFG) of 3 students, which implement, a python library for user location based on multipath information , a 5G channel model generator, and a multi-user link adaptation simulator with multipath channel prediction.

CASTRO-5G v0.1.0 with functional MultipathLocation library

This Open Source repo presents a collection of 5G sparse multipath channel simulation, estimation and location signal processing tools in Python. CASTRO-5G is a repository started as a means to publish the software results of the research project Communications And Spatial Tracking RatiO (CASTRO) funded by Spanish Ministerio de Ciencia e Innovación (MICINN) - Proyectos de Generación de Conocimiento 2021 PID2021-122483OA-I00.

This release, Version 0.1.0, features the Trabajo Fin de Grado (TFG) of Gonzalo Feijoo Rodriguez, a python library for user location based on multipath information retrieved by a 5G channel estimation. The details of the algorithms can be consulted in

• F. Gómez-Cuba, G. Feijoo-Rodríguez, N. González-Prelcic "Clock and Orientation-Robust Simultaneous Radio Localization and Mapping at Millimeter Wave Bands" Accepted for publication in IEEE WCNC 2023, Glassgow, Scotland.