An Iterative Hyperplane Projection Based Affine Projection Algorithm for Fast Converging Space-Time Adaptive Decision-Directed Equalizer

Won-Cheol LEE; Chul RYU; Jin-Ho PARK

An Iterative Hyperplane Projection Based Affine Projection Algorithm for Fast Converging Space-Time Adaptive Decision-Directed Equalizer

Won-Cheol LEE, Chul RYU, Jin-Ho PARK

Full Text Views

0

Share
Cite this

Summary :

This paper introduces an efficient affine projection algorithm (APA) using iterative hyperplane projection. The inherent effectiveness against the rank deficient problem has led APA to be the preferred algorithm to be employed for various applications over other variety of fast converging adaptation algorithms. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion (SMI). Another issue is that the "shifting invariance property," which is typically exploited for single channel case, does not hold ground for space-time decision-directed equalizer (STDE) application deployed in single-input-multi-output (SIMO) systems. Therefore, fast adaptation schemes, such as fast traversal filter based APA (FTF-APA), becomes impossible to utilize. The motivation of this paper deliberates on finding an effective algorithm on the basis of APA, which yields low complexity while sustaining fast convergence as well as excellent tracking ability. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed.

Publication: IEICE TRANSACTIONS on Communications Vol.E87-B No.12 pp.3673-3681

Publication Date: 2004/12/01

Publicized

Online ISSN

DOI

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Cite this

Copy

Won-Cheol LEE, Chul RYU, Jin-Ho PARK, "An Iterative Hyperplane Projection Based Affine Projection Algorithm for Fast Converging Space-Time Adaptive Decision-Directed Equalizer" in IEICE TRANSACTIONS on Communications, vol. E87-B, no. 12, pp. 3673-3681, December 2004, doi: .
Abstract: This paper introduces an efficient affine projection algorithm (APA) using iterative hyperplane projection. The inherent effectiveness against the rank deficient problem has led APA to be the preferred algorithm to be employed for various applications over other variety of fast converging adaptation algorithms. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion (SMI). Another issue is that the "shifting invariance property," which is typically exploited for single channel case, does not hold ground for space-time decision-directed equalizer (STDE) application deployed in single-input-multi-output (SIMO) systems. Therefore, fast adaptation schemes, such as fast traversal filter based APA (FTF-APA), becomes impossible to utilize. The motivation of this paper deliberates on finding an effective algorithm on the basis of APA, which yields low complexity while sustaining fast convergence as well as excellent tracking ability. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e87-b_12_3673/_p

Copy

@ARTICLE{e87-b_12_3673,
author={Won-Cheol LEE, Chul RYU, Jin-Ho PARK, },
journal={IEICE TRANSACTIONS on Communications},
title={An Iterative Hyperplane Projection Based Affine Projection Algorithm for Fast Converging Space-Time Adaptive Decision-Directed Equalizer},
year={2004},
volume={E87-B},
number={12},
pages={3673-3681},
abstract={This paper introduces an efficient affine projection algorithm (APA) using iterative hyperplane projection. The inherent effectiveness against the rank deficient problem has led APA to be the preferred algorithm to be employed for various applications over other variety of fast converging adaptation algorithms. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion (SMI). Another issue is that the "shifting invariance property," which is typically exploited for single channel case, does not hold ground for space-time decision-directed equalizer (STDE) application deployed in single-input-multi-output (SIMO) systems. Therefore, fast adaptation schemes, such as fast traversal filter based APA (FTF-APA), becomes impossible to utilize. The motivation of this paper deliberates on finding an effective algorithm on the basis of APA, which yields low complexity while sustaining fast convergence as well as excellent tracking ability. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed.},
keywords={},
doi={},
ISSN={},
month={December},}

Copy

TY - JOUR
TI - An Iterative Hyperplane Projection Based Affine Projection Algorithm for Fast Converging Space-Time Adaptive Decision-Directed Equalizer
T2 - IEICE TRANSACTIONS on Communications
SP - 3673
EP - 3681
AU - Won-Cheol LEE
AU - Chul RYU
AU - Jin-Ho PARK
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2004
AB - This paper introduces an efficient affine projection algorithm (APA) using iterative hyperplane projection. The inherent effectiveness against the rank deficient problem has led APA to be the preferred algorithm to be employed for various applications over other variety of fast converging adaptation algorithms. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion (SMI). Another issue is that the "shifting invariance property," which is typically exploited for single channel case, does not hold ground for space-time decision-directed equalizer (STDE) application deployed in single-input-multi-output (SIMO) systems. Therefore, fast adaptation schemes, such as fast traversal filter based APA (FTF-APA), becomes impossible to utilize. The motivation of this paper deliberates on finding an effective algorithm on the basis of APA, which yields low complexity while sustaining fast convergence as well as excellent tracking ability. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed. The performance of the proposed method is evaluated under wireless SIMO channel in respect to bit error rate (BER) behavior and computational complexity, and upon completion, the validity is confirmed.
ER -