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A low power parallel processor implementation of a turbo decoder.

机译:Turbo解码器的低功耗并行处理器实现。

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摘要

A novel parallel decoding algorithm for turbo codes is presented, along with its implementation on an embedded Single-Instruction Stream, Multiple-Data Streams (SIMD) processor. The novelty of the parallel algorithm is the simultaneous computation of state metrics and log-likelihood ratios for all trellis stages in the constituent decoder. The results are then interleaved prior to parallel decoding in the subsequent constituent decoder. Implementation of the constituent decoder using the massively parallel SIMD Array Processor of the Atsana Semiconductor J2210 Media Processor achieves speedup factors of 10 or greater for data packet sizes in excess of 512 data symbols when compared to its sequential counterpart as executed by an ARM922T(TM) processor. The bit error rate, performance of the parallel processor turbo decoder implementation lies within 0.1 dB from that of the floating-point reference. The Processors-In-Memory architecture of the SIMD array processor offers a 24% reduction in energy consumption when compared to the low-power ARM922T(TM) core.
机译:提出了一种新颖的Turbo码并行解码算法,并在嵌入式单指令流,多数据流(SIMD)处理器上实现了该算法。并行算法的新颖之处在于可以同时计算组成解码器中所有网格阶段的状态度量和对数似然比。然后在随后的组成解码器中并行解码之前对结果进行交织。与由ARM922T(TM)执行的顺序解码器相比,使用Atsana Semiconductor J2210媒体处理器的大规模并行SIMD阵列处理器实现组成解码器时,对于超过512个数据符号的数据包,其加速因子达到10或更大。处理器。并行处理器Turbo解码器实现的误码率,性能与浮点参考的误码率在0.1 dB之内。与低功耗ARM922T™内核相比,SIMD阵列处理器的“处理器在内存中”架构可将能耗降低24%。

著录项

  • 作者

    Castellon, Marco Alejandro.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.Sc.
  • 年度 2006
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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