Design and Implementation of an On-Demand Maximum-Likelihood Sequence Estimation (MLSE)

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE open journal of circuits and systems Pub Date : 2022-03-11 DOI:10.1109/OJCAS.2022.3173686
Mohammad Emami Meybodi;Hector Gomez;Yu-Chun Lu;Hossein Shakiba;Ali Sheikholeslami
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引用次数: 3

Abstract

This paper proposes a novel design for Maximum Likelihood Sequence Estimation (MLSE) used in ultra-high-speed wireline communication. We take advantage of the propagated errors caused by Decision-Feedback Equalizer (DFE) to activate and guide the MLSE, thereby reducing its complexity. The design is customized for a 4-PAM, 1 + D signaling system, and synthesized in 16nm FinFET TSMC Technology. For comparison purposes, a conventional MLSE is also synthesized in the same technology. The synthesis report confirms that the proposed design consumes 1/10 of the power and occupies 1/15 of the area required by the conventional MLSE while having a comparable bit error rate.
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按需最大似然序列估计(MLSE)的设计与实现
提出了一种超高速有线通信中最大似然序列估计(MLSE)的新设计。我们利用决策反馈均衡器(DFE)引起的传播误差来激活和引导MLSE,从而降低其复杂性。该设计是为4-PAM, 1 + D信号系统定制的,并在16nm FinFET TSMC技术中合成。为便于比较,本文还采用相同的技术合成了一种传统的MLSE。综合报告证实,所提出的设计功耗为传统MLSE的1/10,占地面积为传统MLSE的1/15,同时具有相当的误码率。
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