SCIENCE CHINA Information Sciences, Volume 60 , Issue 2 : 022401(2017) https://doi.org/10.1007/s11432-015-0967-7

An efficient and robust method to determine the optimal tap coefficients of high speed FIR equalizer

More info
  • ReceivedDec 2, 2015
  • AcceptedJan 25, 2016
  • PublishedNov 8, 2016


The FIR equalizer is a common way to compensate for the effect of ISI in high speed data transmission. One key issue for the FIR equalizer design is to find the optimal tap coefficient (TC) set. In this work, the TC search is formulated as an eye-diagram based global optimization problem and an efficient and robust multi-start point (MSP) optimizer is developed and applied to determine the optimal TC set. To guarantee a robust optimization procedure, an objective function based on the eye diagram is studied. It proves that a 330x speedup is provided by the proposed method as compared with the Monte Carlo method. With the proposed method, the optimal design point of the equalizer can be further estimated.



This research was supported in part by National Natural Science Foundation of China (Grant Nos. 61125401, 61376040, 61574046, 61574044), National Basic Research Program of China (Grant No. 2011CB309701), Recruitment Program of Global Experts (the Thousand Talents Plan), Fudan University ASIC {&} Systems State Key Lab, Semiconductor Research Corporation (Grant Nos. 525870, 637163) and National Science Foundation (Grant No. 1115556).


[1] Liu J, Lin X. Equalization in high-speed communication systems. IEEE Circ Syst Mag, 2004, 4: 4-17 Google Scholar

[2] Li M, Wang S, Tao Y, et al. FIR filter optimization as pre-emphasis of high-speed backplane data transmission. Electron Lett, 2004, 40: 912-913 CrossRef Google Scholar

[3] Kim J, Lee J, Song E, et al. Compensation of undesired channel effects by frequency domain optimization of pre-emphasis filter for over Gb/s signaling. In: Proceedings of International Conference on Communications, Circuits and Systems, Guilin, 2006. 721--726. Google Scholar

[4] Cheng Y S, Wu R B. Direct eye diagram optimization for arbitrary transmission lines using FIR filter. IEEE Trans Compon Packag Manuf Technol, 2011, 1: 1250-1258 CrossRef Google Scholar

[5] Zsolt U, Lasdon L, Plummer J, et al. Scatter search and local NLP solvers: a multistart framework for global optimization. Informs J Comput, 2007, 19: 328-340 CrossRef Google Scholar

[6] Huang G, Qian L, Saibua S, et al. An efficient optimization based method to evaluate the DRV of SRAM cells. IEEE Trans Circ Syst I, 2013, 60: 1511-1520 Google Scholar

[7] Michael B. Nonlinear Optimization with Engineering Applications. Berlin: Springer, 2008. Google Scholar

[8] Kolda T, Lewis R, Torczon V. Optimization by direct search: new perspective on some classical and modern methods. SIAM Rev, 2003, 45: 385-482 CrossRef Google Scholar

[9] Liu H, Liu J, Payne R, et al. A 18mW 10Gbps continuous-time FIR equalizer for wired line data communications in 0.12${\upmu} $m CMOS. In: Proceedings of the IEEE Custom Integrated Circuits Conference, San Jose, 2009. 113--116. Google Scholar

[10] Kuo P, Saibua S, Huang G, et al. An efficient method for evaluating analog circuit performance bounds under process variations. IEEE Trans Circ Syst II, 2012, 59: 351-355 CrossRef Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备17057255号       京公网安备11010102003388号