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A novel dual loop adaptive equalizer based on spectrum balancing technique

机译:一种基于频谱平衡技术的新型双环自适应均衡器

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摘要

Inductorless circuits are gaining advantage in RF and high-speed serial link circuits due to the reduced silicon area. This paper presents an inductor-less adaptive equalizer featuring both data rate adaptation and channel loss adaptation. The conventional adaptive equalizers use spectrum balancing technique. The spectrum balancing technique balances the power in low and high frequency components with cutoff frequency of the filters as 0.28/(Tb)(T-b is the minimum bit period of the incoming data stream). The proposed technique removes the necessity of using high pass filter and uses only a programmable low-pass filter in the adaptive equalization loop. This technique leads to the tunability of the equalizer over a wide range of throughput and channel losses. For the proof of concept, the entire equalizer circuit is designed and fabricated in 180 nm mixed mode CMOS technology. The measurements with lossy channels show that the proposed adaptive equalizer is able to work well for the channel losses up to 6 dB and wide throughput of 1-3.125 Gbps. The design is targeted to operate at a maximum data rate of 3.125 Gbps to meet JESD 204 standards. The proposed adaptive equalizer consumes a power of 9.8 mW/Gbps including 10 buffers.
机译:由于硅面积减小,电感电路在RF和高速串行链路电路中取得优势。本文介绍了一种较少的电感式自适应均衡器,具有数据速率适配和信道损耗适应。传统的自适应均衡器使用频谱平衡技术。频谱平衡技术将滤波器的截止频率与滤波器的截止频率平衡为0.28 /(TB)(T-B是传入数据流的最小比特周期)。所提出的技术消除了使用高通滤波器的必要性,并仅在自适应均衡循环中使用可编程低通滤波器。该技术导致均衡器的可调性在各种吞吐量和信道损耗中。对于概念证明,整个均衡器电路采用180nm混合模式CMOS技术设计和制造。具有损耗通道的测量表明,所提出的自适应均衡器能够适用于通道损耗,高达6 dB的损耗和1-3.125 Gbps的吞吐量宽。该设计的目标是以3.125 Gbps的最大数据速率运行,以满足JESD 204标准。所提出的自适应均衡器消耗了9.8 MW / Gbps的功率,包括10个缓冲区。

著录项

  • 来源
    《Microelectronics journal》 |2019年第5期|127-135|共9页
  • 作者单位

    Indian Inst Technol IIT Bombay Dept Elect Engn Mumbai 400076 Maharashtra India;

    Indian Inst Technol IIT Bombay Dept Elect Engn Mumbai 400076 Maharashtra India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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