低密度奇偶校验译码器的区域高效容错设计

Bohua Li, Yukui Pei, N. Ge
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引用次数: 4

摘要

随着技术向纳米领域发展,在空间应用中,大面积的芯片特别容易受到单事件扰动的影响。本文提出了低密度校验码解码器关键模块的低成本容错方案,以节省逻辑资源。对于计数器,提出了一种基于m序列和汉明编码的容错方案,通过一个简单的汉明解码器可以定位和纠正seu产生的软错误。对于RAM内容,我们首先提出了一种分层流水线架构,将LLR RAM吸收到V2C RAM中,以减少内存位,从而降低seu的影响。然后,提出了一种RAM强化方案,该方案只需要通过奇偶校验检测软错误,而纠错则由解码器自身尚未充分利用的迭代解码能力来完成。仿真结果表明,所提出的容错计数器完全避免了seu,比TMR方法节省了42%的单元面积,分层的管道架构比[4]和[15]分别节省了42%和12%的存储位。此外,在高信噪比(SNR)环境下发生软错误时,硬化后的RAM单元不会产生额外的比特错误。每个RAM内容的成本只有一个奇偶校验位,这比传统的强化方案要少得多。
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Area-Efficient Fault-Tolerant Design for Low-Density Parity-Check Decoders
As technology moves into nano-realm, large area of the chip is especially vulnerable to single event upset (SEU) in space applications. In this paper, low cost fault-tolerant schemes are presented for the key modules of Low-Density Parity-Check (LDPC) code decoder to save logic resources. For counters, a fault-tolerant scheme based on m-sequence and Hamming coding is proposed, whereby the soft errors generated by SEUs can be located and corrected by a simple Hamming decoder. For RAM contents, we first propose a layered pipelined architecture absorbing LLR RAM into V2C RAM to reduce memory bits, which will lower the impact of SEUs. Then, a RAM hardening scheme is proposed, which only requires to detect soft errors by parity check, while the error correction is accomplished by decoder's own iterative decoding capability that has not been exploited sufficiently. Simulation results show that the proposed fault-tolerant counter could totally avoid SEUs and saves 42% of cell area compared with TMR method and the layered pipelined architecture saves 42% and 12% of memory bits compared with [4] and [15]. In addition, the hardened RAM cells will not cause extra bit errors when a soft error happens under the environments of high signal-to-noise ratio (SNR). The cost is only one parity bit for each RAM content, which is much less than conventional hardening schemes.
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