基于fpga的LDPC纠错系统验证、表征和优化原型方法

P. Sakellariou, I. Tsatsaragkos, N. Kanistras, A. Mahdi, Vassilis Paliouras
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引用次数: 7

摘要

本文介绍了一种面向系统验证和表征的前向纠错(FEC)架构原型的方法。给出了一套完整的设计流程,满足了硬件设计的无差错和FEC仿真的加速要求。由于FEC操作的巨大加速,FPGA器件使设计人员能够观察到罕见事件。基于matlab的系统有助于研究非常罕见的解码失败事件对FEC系统性能的影响,并找到旨在优化参数和提高错误层区域LDPC码误码率性能的解决方案。此外,还探讨了嵌入式系统的开发,该系统提供了对测试验证过程自动化系统的远程访问。本文提出的原型方法利用了基于fpga的仿真器的高处理速度和基于软件的模型的可观察性和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An FPGA-based prototyping method for verification, characterization and optimization of LDPC error correction systems
This paper introduces a methodology for forward error correction (FEC) architectures prototyping, oriented to system verification and characterization. A complete design flow is described, which satisfies the requirement for error-free hardware design and acceleration of FEC simulations. FPGA devices give the designer the ability to observe rare events, due to tremendous speed-up of FEC operations. A Matlab-based system assists the investigation of the impact of very rare decoding failure events on the FEC system performance and the finding of solutions which aim to parameters optimization and BER performance improvement of LDPC codes in the error floor region. Furthermore, the development of an embedded system, which offers remote access to the system under test and verification process automation, is explored. The presented here prototyping approach exploits the high-processing speed of FPGA-based emulators and the observability and usability of software-based models.
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