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 surat ini, kami mencadangkan teknik penyamaan yang cekap dari segi pengiraan yang menggunakan ralat min kuasa dua minimum blok (MMSE) bergantung pada LDLH pemfaktoran. Pembatalan gangguan selari (PIC) dilaksanakan dengan output pra-perolehan untuk menyediakan pengesanan simbol yang lebih dipercayai. Khususnya, struktur jalur matriks saluran domain frekuensi dieksploitasi untuk mengurangkan kerumitan pelaksanaan. Ia ditunjukkan melalui simulasi komputer bahawa teknik yang dicadangkan memerlukan kerumitan yang lebih rendah daripada algoritma konvensional untuk mendapatkan prestasi yang sama, dan ia menunjukkan prestasi yang lebih baik daripada rakan sejawatan konvensional apabila kerumitan yang sama diandaikan.
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
Namjeong LEE, Hoojin LEE, Joonhyuk KANG, Gye-Tae GIL, "Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 3, pp. 1031-1034, March 2009, doi: 10.1587/transcom.E92.B.1031.
Abstract: In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. It is shown through computer simulation that the proposed technique requires lower complexity than the conventional algorithm to obtain the same performance, and that it exhibits better performance than the conventional counterpart when the same complexity is assumed.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.1031/_p
Salinan
@ARTICLE{e92-b_3_1031,
author={Namjeong LEE, Hoojin LEE, Joonhyuk KANG, Gye-Tae GIL, },
journal={IEICE TRANSACTIONS on Communications},
title={Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels},
year={2009},
volume={E92-B},
number={3},
pages={1031-1034},
abstract={In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. It is shown through computer simulation that the proposed technique requires lower complexity than the conventional algorithm to obtain the same performance, and that it exhibits better performance than the conventional counterpart when the same complexity is assumed.},
keywords={},
doi={10.1587/transcom.E92.B.1031},
ISSN={1745-1345},
month={March},}
Salinan
TY - JOUR
TI - Low-Complexity Equalizer for OFDM Systems in Doubly-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 1031
EP - 1034
AU - Namjeong LEE
AU - Hoojin LEE
AU - Joonhyuk KANG
AU - Gye-Tae GIL
PY - 2009
DO - 10.1587/transcom.E92.B.1031
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2009
AB - In this letter, we propose a computationally effient equalization technique that employs block minimum mean squared error (MMSE) depending on LDLH factorization. Parallel interference cancellation (PIC) is executed with pre- obtained output to provide more reliable symbol detection. In particular, the band structure of the frequency domain channel matrix is exploited to reduce the implementation complexity. It is shown through computer simulation that the proposed technique requires lower complexity than the conventional algorithm to obtain the same performance, and that it exhibits better performance than the conventional counterpart when the same complexity is assumed.
ER -