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July 21, 2026The Journal of Korean Institute of Communications and Information Sciences

Performance Study of GPU-Accelerated Reed-Solomon Decoder for Flight Vehicle Telemetry

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Key Points

The aim is to evaluate the performance of a GPU-accelerated Reed-Solomon decoder for flight vehicle telemetry systems.
Developed a software decoder structure on GPU utilizing the graphics pipeline.
Analyzed performance with varying error correction capacities and data error rates.
Compared performance against a CPU decoder using similar algorithm optimization.
The GPU decoder demonstrated superior decoding performance, handling multiple telemetry channels effectively.
Achieved maximum error correction capabilities of 8 and 16 errors.
Indicated potential for efficient use in missile defense flight tests.

Implication

Performance study evaluates a GPU-based Reed-Solomon decoder for telemetry, indicating enhanced efficiency in defense applications.

Abstract

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Cite This Study

Inhwa Jung (2026) studied this question.

synapsesocial.com/papers/6a61aea0faa9903c51169d50 https://doi.org/10.7840/kics.2026.51.7.1380

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