| 摘要(英) |
In many high speed Ethernet transmission systems, such as 5 GBASE-T system, echo and near-end crosstalk (NEXT) interferences are two major impairments. This work designs the digital baseband transceiver for Ethernet transmission using PAM-16 signal based on standard IEEE 802.3bz™-2016. Conventional echo cancellation is performed using noise cancellers which are usually implemented using adaptive finite impulse response (FIR) filters, where the replica of echo interferences estimated by FIR filters are subtracted from the received noisy signals. This traditional approach, however, requires a significant hardware cost as the number of taps in the adaptive FIR filters is large. Therefore, it is important to reduce hardware cost. The issue of how to decrease the cost of the circuit while meeting the performance requirements has been paid more and more attention. The echo channel model used in this paper has a small reflection in the tail part due to the mismatch between the transmission of the near end and the far end echo. Position of the reflection will be determined by the cable length, so the methods proposed in the traditional literature cannot achieve the desired performance, or the circuit cost remains high. In this paper, finite impulse response and infinite impulse response filters are used for simulation analysis, and the stability criterion is used to avoid the unstable situation. In recent years, artificial intelligence related technologies are developing vigorously. This paper also combines machine learning and adaptive filters to decrease the cost of echo canceller circuits.
Regarding the hardware implementation, the Verilog HDL description is employed and the related simulations, are conducted. The circuit function is verified under the TSMC-40nm process through SMIMS VeriEnterprise Xilinx FPGA and chip design tools Design Compiler and IC Compiler. |
| 參考文獻 |
[1] IEEE Standard for Ethernet Amendment 7: Media Access Control Parameters,
Physical Layers, and Management Parameters for 2.5 Gb/s and 5 Gb/s Operation,
Types 2.5GBASE-T and 5GBASE-T. [2] N. Verhoeckx, H. van den Elzen, F. Snijders and P. van Gerwen, “Digital echo cancellation
for baseband data transmission,” IEEE Trans. on Acoustics, Speech, and Signal Processing,
Vol.27, pp. 768-781, Dec 1979.
[3] Fan Hong and W. K. Jenkins, "An investigation of an adaptive IIR echo canceller: advantages and problems," in IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 36, no. 12, pp. 1819-1834, Dec. 1988, doi: 10.1109/29.9027.
[4] A. F. Shalash, "Hybrid FIR-IIR Adaptive Echo Canceller for Wireline Applications," Conference Record of the Thirty-Ninth Asilomar Conference on Signals, Systems and Computers, 2005., 2005, pp. 364-368, doi: 10.1109/ACSSC.2005.1599769.
[5] Yen-Liang Chen, Cheng-Zhou Zhan and An-Yeu Wu, "Cost-effective echo and NEXT canceller designs for 10GBASE-T ethernet system," 2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2008, pp. 3150-3153, doi: 10.1109/ISCAS.2008.4542126.
[6] Diniz, P. S. R., Adaptive Filtering: Algorithms and Practical Implementations, Kluwer Academic Publishers, Boston, MA, Second Edition, 2002. ISBN 1-4020-7125-6.
[7] Simon Haykin, Adaptive Filter Theory : International Edition, 5th Edition, ISBN 027376408X
[8] B. Widrow, J. M. McCool, M. G. Larimore and C. R. Johnson, "Stationary and nonstationary learning characteristics of the LMS adaptive filter," in Proceedings of the IEEE, vol. 64, no. 8, pp. 1151-1162, Aug. 1976, doi: 10.1109/PROC.1976.10286.
[9] J. Ebrahimi, S. H. Hosseinian and G. B. Gharehpetian, "Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm," in IEEE Transactions on Power Systems, vol. 26, no. 2, pp. 573-581, May 2011, doi: 10.1109/TPWRS.2010.2052639.
[10] Muzaffar Eusuff and Kevin Lansey, “Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization,” Engineering optimization, vol. 38, no. 2, pp. 129-154, 2004.
[11] P. Luo, Q. Lu and Chenxi Wu, "Modified shuffled frog leaping algorithm based on new searching strategy," 2011 Seventh International Conference on Natural Computation, Shanghai, 2011, pp. 1346-1350, doi:10.1109/ICNC.2011.6022273.
[12] Jiménez-Galindo D, Casaseca-de-la-Higuera P, San-José-Revuelta LM (2019) A novel design method for digital FIR/IIR filters based on the shuffle frog-leaping algorithm. In: 2019 27th European signal processing conference (EUSIPCO), pp 1–5
[13] Katsuhiko Ogata, Discrete-Time Control Systems, ISBN 0-13-216227-X.
[14] Shao-Syun Huang, “A High Cost-Effective Echo Canceller Design for 2.5G/5GBASE-T Ethernet Transceiver,” Oct 2021. |
[Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 ( 永不開放)
plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit