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Low Complexity Reconfigurable Turbo Decoder for Wireless Communication Systems

机译:用于无线通信系统的低复杂度可重构Turbo解码器

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The development of turbo codes has allowed for near-Shannon limit information transfer in modern communication systems. Although turbo decoding is viewed as superior to alternate decoding techniques, the circuit complexity and power consumption of turbo decoder implementations can often be prohibitive for power-constrained systems. To address these issues, a reduced complexity, low power turbo decoder is proposed, specifically optimized for contemporary FPGA devices. The key power-saving technique in this work is the use of decoder run-time dynamic reconfiguration for different constraint lengths. Max-Log-MAP algorithm, which offers a good compromise between performance and complexity, is selected for implementation. One of the components of this algorithm namely, the branch metric calculation unit is studied and a new design of this unit is proposed. The branch metric normalization scheme proposed here builds upon a sliding window approach and is capable of providing high speed. The implementation of SISO-based turbo decoder with three different constraint lengths (K) on a field programmable gate array (FPGA) achieves a speed of 86.08 % more than the conventional design. The power consumption of the device for various constraint lengths is measured using synopsis design compiler- simplicity premier with DCP 2008 tool. The proposed reconfigurable architecture for a constraint length 'K' consumes very few megawatt of power more than the non-reconfigurable architecture for the corresponding constraint length.
机译:Turbo代码的发展已使现代通信系统中的香农极限信息传输成为可能。尽管turbo解码被视为优于替代解码技术,但是turbo解码器实现的电路复杂性和功耗通常对于功率受限的系统而言是令人望而却步的。为了解决这些问题,提出了一种降低复杂度的低功耗Turbo解码器,该解码器专门针对当代FPGA器件进行了优化。这项工作中的关键节能技术是针对不同约束长度使用解码器运行时动态重配置。选择了Max-Log-MAP算法,该算法在性能和复杂性之间取得了很好的折衷,因此可以选择实施。研究了该算法的组成部分之一,即分支度量计算单元,并提出了该单元的新设计。这里提出的分支度量规范化方案基于滑动窗口方法,并且能够提供高速。在现场可编程门阵列(FPGA)上实现具有三个不同约束长度(K)的基于SISO的Turbo解码器,其速度比传统设计高出86.08%。使用概要设计编译器(具有DCP 2008工具的简化版本)测量了针对各种约束长度的设备功耗。所提出的针对约束长度“ K”的可重构架构比对应约束长度的不可重构架构消耗的功率少得多。

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