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Edge computing for space applications: Field programmable gate array-based implementation of multiscale probability distribution functions.

The Review of scientific instruments·2019

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Edge computing in space: Field programmable gate array-based solutions for spectral and probabilistic analysis of

Laurenţiu Opincariu¹, Norbert Deak¹, Octavian Creţ¹

¹Technical University of Cluj-Napoca, Cluj-Napoca, Romania.

The Review of Scientific Instruments

|November 30, 2019

Summary

This summary is machine-generated.

This study demonstrates an optimized Field Programmable Gate Array (FPGA) design for on-board spacecraft time series analysis. It successfully integrates power spectral density and multiscale probability distribution functions, enhancing data processing capabilities in space.

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Area of Science:

Spacecraft engineering
Digital signal processing
Embedded systems

Background:

Space exploration demands increased on-board data processing for scientific analysis.
Resource constraints on spacecraft necessitate efficient hardware implementations.
Field Programmable Gate Arrays (FPGAs) are suitable for on-board digital signal processing (DSP) tasks.

Purpose of the Study:

To design and implement an optimized system for on-board time series analysis on spacecraft.
To integrate multiple DSP algorithms onto a single FPGA to maximize resource utilization.
To focus on optimizing area, speed, and power consumption for space applications.

Main Methods:

Development of an optimized FPGA design integrating two DSP algorithms: power spectral density and multiscale probability distribution functions.
Detailed description of the implementation process and architectural choices.
Testing the design using both synthetic and real-world data.

Main Results:

Successful implementation of dual DSP algorithms (power spectral density and multiscale probability distribution functions) on a single FPGA.
Demonstrated optimization of area, speed, and power consumption.
Validation of the approach's feasibility through testing with diverse datasets.

Conclusions:

The proposed FPGA design is feasible for on-board spacecraft time series analysis.
This work represents a significant step towards implementing advanced data processing on space-grade FPGAs.
The optimized integration of multiple DSP algorithms enhances spacecraft data analysis capabilities.