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

被引：4

作者：

Meybodi, Mohammad Emami ^{[1
]}

Gomez, Hector ^{[1
]}

Lu, Yu-Chun ^{[2
]}

Shakiba, Hossein ^{[3
]}

Sheikholeslami, Ali ^{[1
]}

机构：

[1] Univ Toronto, Edward S Rogers Sr Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

[2] Huawei Technol Co Ltd, Beijing 100095, Peoples R China

[3] Huawei Technol Canada, Markham, ON L3R 5A4, Canada

来源：

IEEE OPEN JOURNAL OF CIRCUITS AND SYSTEMS | 2022年 / 3卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Maximum likelihood estimation; Decision feedback equalizers; Viterbi algorithm; Symbols; Complexity theory; Receivers; Power demand; DFE burst error; MLSE; MLSE on demand; partial equalization; SERDES; wireline;

D O I：

10.1109/OJCAS.2022.3173686

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：97 / 108

页数：12

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