An SDR-based GNSS-R CubeSat payload: hardware development and optimization of the onboard processing

Recent developments in high-performance Software Defined Radios (SDR) and their utilization in CubeSat payloads are transforming Earth Observation (EO), including Microwave Radiometers, Global Navigation and Satellite System – Radio Occultations (GNSS-RO), and – Reflectometry (GNSS-R). In recent yea...

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Detalles Bibliográficos
Autores: Khan, Shah Zahid, Abbas, Yasir, Edwar, Edwar, Jallad, Abdul-Halim, Camps Carmona, Adriano José|||0000-0002-9514-4992
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/427851
Acceso en línea:https://hdl.handle.net/2117/427851
https://dx.doi.org/10.1109/ACCESS.2025.3546358
Access Level:acceso abierto
Palabra clave:Payloads
CubeSat
Antenna arrays
Instruments
Global navigation satellite system
Global Positioning System
Doppler effect
Satellite broadcasting
SAW filters
Receiving antennas
GNSS-R
Reflectometry
Interferometry
Software Defined Radios (SDRs)
Delay Doppler Map (DDM)
Optimization
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
Descripción
Sumario:Recent developments in high-performance Software Defined Radios (SDR) and their utilization in CubeSat payloads are transforming Earth Observation (EO), including Microwave Radiometers, Global Navigation and Satellite System – Radio Occultations (GNSS-RO), and – Reflectometry (GNSS-R). In recent years, GNSS-R has been increasingly used in land and marine environmental monitoring, with applications expanding to other emerging fields in EO. The so called Delay Doppler Map (DDM) is the primary observable of GNSS-R receivers, providing information on surface properties, i.e. dielectric constant and surface roughness. Efficient on-board processing is essential in CubeSat-based GNSS-R missions, due to the large volume of raw data and the constraints of limited downlink bandwidth. However, limited on-board computational resources present challenges, as DDM generation requires intensive Fast Fourier Transform (FFT) operations. This study presents the design and development of a cost-effective and compact 0.5U GNSS-R CubeSat payload that optimizes the GNSS-R data processing technique by using the auxiliary data from the reference signals, such as Pseudo-Random Noise (PRN) codes, and their Doppler frequencies in order to reduce the search space. This way the payload selectively processes the raw data, significantly reducing the computational load. The payload processing unit is implemented in Analog Devices ADRV9364 with a dual-core ARM Cortex-A9 processor with a Zynq-7000 FPGA.