The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam makalah ini, kami menganalisis penumpuan dan gelagat keadaan mantap bagi algoritma penapisan adaptif min kuasa dua terkecil (LMS) untuk penyamaan maklum balas keputusan jenis hibrid pemisah fasa panjang terhingga (H-DFE). Dengan beberapa anggaran, kami memperoleh ungkapan berulang untuk lebihan ralat min kuasa dua (MSE) bagi H-DFE, yang terdiri daripada tiga MSE berlebihan yang bergantung secara statistik; iaitu, lebihan MSE penapis suapan hadapan (FFF), penapis maklum balas ramalan gangguan intersimbol (ISI-FBF), dan penapis maklum balas ramalan hingar (NP-FBF). Simulasi komputer dan keputusan analisis menunjukkan bahawa nilai eigen purata isyarat input untuk paip NP-FBF H-DFE adalah berbeza-beza masa, manakala nilai eigen bagi paip FFF dan ISI-FBF ditetapkan. Namun begitu, H-DFE boleh dilaksanakan dengan saiz langkah tetap yang memastikan penumpuan algoritma LMS tanpa kemerosotan prestasi dari sudut pandangan kelajuan penumpuan, serta prestasi keadaan mantap untuk aplikasi talian pelanggan digital (xDSL).
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
Kyu-Min KANG, Gi-Hong IM, "Convergence and Steady-State Behavior of a Hybrid Decision Feedback Equalizer" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 12, pp. 2764-2775, December 2002, doi: .
Abstract: In this paper, we analyze the convergence and steady-state behavior of the least mean-square (LMS) adaptive filtering algorithm for a finite-length phase-splitting hybrid-type decision feedback equalizer (H-DFE). With some approximations, we derive an iterative expression for the excess mean-square error (MSE) of the H-DFE, which is composed of three statistically dependent excess MSEs; that is, the excess MSEs of the feedforward filter (FFF), intersymbol interference predictive feedback filter (ISI-FBF), and noise predictive feedback filter (NP-FBF) taps. Computer simulation and analytical results show that the average eigenvalue of the input signal for the NP-FBF taps of the H-DFE is time-varying, whereas those for the FFF and ISI-FBF taps are fixed. Nevertheless, the H-DFE can be implemented with fixed step sizes that ensure the convergence of the LMS algorithm without performance degradation from the standpoint of convergence speed, as well as steady-state performance for digital subscriber line (xDSL) applications.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_12_2764/_p
Salinan
@ARTICLE{e85-b_12_2764,
author={Kyu-Min KANG, Gi-Hong IM, },
journal={IEICE TRANSACTIONS on Communications},
title={Convergence and Steady-State Behavior of a Hybrid Decision Feedback Equalizer},
year={2002},
volume={E85-B},
number={12},
pages={2764-2775},
abstract={In this paper, we analyze the convergence and steady-state behavior of the least mean-square (LMS) adaptive filtering algorithm for a finite-length phase-splitting hybrid-type decision feedback equalizer (H-DFE). With some approximations, we derive an iterative expression for the excess mean-square error (MSE) of the H-DFE, which is composed of three statistically dependent excess MSEs; that is, the excess MSEs of the feedforward filter (FFF), intersymbol interference predictive feedback filter (ISI-FBF), and noise predictive feedback filter (NP-FBF) taps. Computer simulation and analytical results show that the average eigenvalue of the input signal for the NP-FBF taps of the H-DFE is time-varying, whereas those for the FFF and ISI-FBF taps are fixed. Nevertheless, the H-DFE can be implemented with fixed step sizes that ensure the convergence of the LMS algorithm without performance degradation from the standpoint of convergence speed, as well as steady-state performance for digital subscriber line (xDSL) applications.},
keywords={},
doi={},
ISSN={},
month={December},}
Salinan
TY - JOUR
TI - Convergence and Steady-State Behavior of a Hybrid Decision Feedback Equalizer
T2 - IEICE TRANSACTIONS on Communications
SP - 2764
EP - 2775
AU - Kyu-Min KANG
AU - Gi-Hong IM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2002
AB - In this paper, we analyze the convergence and steady-state behavior of the least mean-square (LMS) adaptive filtering algorithm for a finite-length phase-splitting hybrid-type decision feedback equalizer (H-DFE). With some approximations, we derive an iterative expression for the excess mean-square error (MSE) of the H-DFE, which is composed of three statistically dependent excess MSEs; that is, the excess MSEs of the feedforward filter (FFF), intersymbol interference predictive feedback filter (ISI-FBF), and noise predictive feedback filter (NP-FBF) taps. Computer simulation and analytical results show that the average eigenvalue of the input signal for the NP-FBF taps of the H-DFE is time-varying, whereas those for the FFF and ISI-FBF taps are fixed. Nevertheless, the H-DFE can be implemented with fixed step sizes that ensure the convergence of the LMS algorithm without performance degradation from the standpoint of convergence speed, as well as steady-state performance for digital subscriber line (xDSL) applications.
ER -