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Energy Efficient VLSI Architecture for Linear Turbo Equalizer

机译:线性Turbo均衡器的节能VLSI架构

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In this paper, energy efficient VLSI architectures for linear turbo equalization are studied. Linear turbo equalizers exhibit dramatic bit error rate (BER) improvement over conventional equalizers by enabling a form of joint equalization and decoding in which soft information is iteratively exchanged between the equalizer and decoder. However, turbo equalizers can be computationally complex and hence require significant power consumption. In this paper, we present an energy-efficient VLSI architecture for such linear turbo equalizers. Key architectural techniques include elimination of redundant operations and early termination. Early termination enables powering down parts of the soft-input soft-output (SISO) equalizer and decoder thereby saving power. Simulation results show that energy savings in the range 30-60% and 10-60% are achieved in equalization and decoding, respectively. Furthermore, we present finite precision requirements of the linear turbo equalizer and an efficient rescaling method to prevent overflow.
机译:本文研究了用于线性涡轮均衡的高能效VLSI架构。线性turbo均衡器通过实现一种联合均衡和解码的形式,在传统均衡器上表现出了显着的误码率(BER)改善,其中在均衡器和解码器之间迭代交换软信息。但是,涡轮均衡器在计算上可能很复杂,因此需要大量的功耗。在本文中,我们提出了一种用于此类线性涡轮均衡器的节能VLSI架构。关键的体系结构技术包括消除冗余操作和提前终止。提早终止可使软输入软输出(SISO)均衡器和解码器的部分断电,从而节省功耗。仿真结果表明,均衡和解码分别实现了30-60%和10-60%的节能。此外,我们提出了线性涡轮均衡器的有限精度要求以及防止溢出的有效重新缩放方法。

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