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Efficient Architectures for Multigigabit CCSDS LDPC Encoders

机译:Multigigit CCSDS LDPC编码器的高效架构

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Quasi-cyclic low-density parity-check (QC-LDPC) codes have been adopted by the Consultative Committee for Space Data Systems (CCSDS) as the recommended standard for onboard channel coding in Near-Earth and Deep-Space communications. Encoder architectures proposed so far are not efficient for high-throughput hardware implementations targeting the specific CCSDS codes. In this article, we introduce a novel architecture for the multiplication of a dense quasi-cyclic (QC) matrix with a bit vector, which is the fundamental operation of QC-LDPC encoding. The architecture leverages the inherent parallelism of the QC structure by concurrently processing multiple bits, according to an optimized scheduling. Based on this architecture, we propose efficient encoders for CCSDS codes, according to all the applicable low-density parity-check (LDPC) code encoding methods. Moreover, in the special case of the code for Near-Earth communications, we also introduce a preprocessing algorithm to efficiently handle the challenges arising from the generator's matrix circulant size (511 bits). The proposed architectures have been implemented in various field-programmable gate array (FPGA) technologies and validated in Zynq UltraScale+ multiprocessor system-on-chip (MPSoC), achieving a significant speedup compared with previous approaches, while at the same time keeping resource utilization low.
机译:空间数据系统协商委员会(CCSDS)作为近地球和深空通信中的车载信道标准的推荐标准,已采用准循环低密度奇偶校验(QC-LDPC)代码。迄今为止提出的编码器架构对针对特定CCSD代码的高吞吐量硬件实现不高效。在本文中,我们介绍了一种新的架构,用于乘以比特向量的致密准循环(QC)矩阵的乘法,这是QC-LDPC编码的基本操作。根据优化调度,该架构通过同时处理多个位来利用QC结构的固有并行性。基于此架构,根据所有适用的低密度奇偶校验(LDPC)代码编码方法,我们为CCSDS代码提出了高效的编码器。此外,在近地接地通信代码的特殊情况下,我们还引入了一种预处理算法,以有效地处理发电机矩阵循环大小(511位)所产生的挑战。拟议的架构已经在各种现场可编程门阵列(FPGA)技术中实现,并在Zynq UltraScale +多处理器系统上验证,与先前的方法相比,实现了显着的加速,同时保持资源利用率低。

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