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A Novel Reconfigurable Vector-Processed Interleaving Algorithm for a DVB-RCS2 Turbo Encoder

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Pubblicato in:Electronics vol. 14, no. 13 (2025), p. 2600-2617
Autore principale: Bensimon Moshe
Altri autori: Boxerman Ohad, Ben-Shimol Yehuda, Manor Erez, Greenberg, Shlomo
Pubblicazione:
MDPI AG
Soggetti:
Wireless communications
Channel capacity
Satellite communications
Hardware
Error correction
Turbo codes
Architecture
Data transmission
Codes
Coders
Efficiency
Data integrity
Embedded systems
Error correction & detection
Digital video
Communications systems
Algorithms
Vector processing (computers)
Data storage
Modular structures
Permutations
Real time
Array processors
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Abstract:Turbo Codes (TCs) are a family of convolutional codes that provide powerful Forward Error Correction (FEC) and operate near the Shannon limit for channel capacity. In the context of modern communication systems, such as those conforming to the DVB-RCS2 standard, Turbo Encoders (TEs) play a crucial role in ensuring robust data transmission over noisy satellite links. A key computational bottleneck in the Turbo Encoder is the non-uniform interleaving stage, where input bits are rearranged according to a dynamically generated permutation pattern. This stage often requires the intermediate storage of data, resulting in increased latency and reduced throughput, especially in embedded or real-time systems. This paper introduces a vector processing algorithm designed to accelerate the interleaving stage of the Turbo Encoder. The proposed algorithm is tailored for vector DSP architectures (e.g., CEVA-XC4500), and leverages the hardware’s SIMD capabilities to perform the permutation operation in a structured, phase-wise manner. Our method adopts a modular Load–Execute–Store design, facilitating efficient memory alignment, deterministic latency, and hardware portability. We present a detailed breakdown of the algorithm’s implementation, compare it with a conventional scalar (serial) model, and analyze its compatibility with the DVB-RCS2 specification. Experimental results demonstrate significant performance improvements, achieving a speed-up factor of up to 3.4× in total cycles, 4.8× in write operations, and 7.3× in read operations, relative to the baseline scalar implementation. The findings highlight the effectiveness of vectorized permutation in FEC pipelines and its relevance for high-throughput, low-power communication systems.
ISSN:2079-9292
DOI:10.3390/electronics14132600
Fonte:Advanced Technologies & Aerospace Database