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 kertas kerja ini, kami mencadangkan algoritma baharu untuk mengesan kehadiran isyarat gangguan jalur sempit pada jalur sistem Jalur Lebar Ultra (UWB) apabila spektrum UWB bertindih dengan jalur perkhidmatan wayarles jalur sempit yang lain. Dalam algoritma cadangan kami untuk sistem Multiplexing Bahagian Frekuensi Ortogonal Berbilang Band UWB (MB-OFDM), model yang sesuai dipilih daripada model gangguan yang diandaikan berdasarkan Kriteria Maklumat Akaike (AIC) yang merupakan kriteria teori yang eksplisit dan ukuran kesesuaian model. Algoritma yang dicadangkan tidak memerlukan maklumat priori tentang isyarat gangguan kecuali kita boleh mengurangkan kerumitan pengiraan untuk melaksanakan algoritma jika kita mempunyai pengetahuan tentang jalur isyarat gangguan. Tambahan pula, kami memperkenalkan algoritma Expectation Maximization (EM) kepada algoritma kami untuk menganggarkan isyarat yang dihantar dan isyarat gangguan secara serentak. Algoritma yang dicadangkan mungkin tidak memerlukan simbol perintis dalam sistem UWB yang diandaikan untuk mengesan kehadiran sistem lain. Melalui simulasi komputer, kami menunjukkan bahawa algoritma yang dicadangkan secara sah mengesan kehadiran isyarat gangguan pada jalur UWB.
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Salinan
Masahiro FUJII, Atsushi MINAKAWA, Yu WATANABE, Makoto ITAMI, Kohji ITOH, "Interference Detection Based on AIC Using EM Algorithm for UWB MB-OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 11, pp. 3130-3139, November 2008, doi: 10.1093/ietfec/e91-a.11.3130.
Abstract: In this paper, we propose a new algorithm to detect the presence of narrow band interference signals on the band of an Ultra Wide-Band (UWB) system when the UWB spectrum overlaps the bands of other narrow band wireless services. In our proposed algorithm for an UWB Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM) system, an appropriate model is selected from the assumed interference models based on the Akaike Information Criterion (AIC) which is an explicit theoretic criterion and a measure of fit of the model. The proposed algorithm does not need a priori information on the interference signals except that we can reduce a computational complexity to implement the algorithm if we have knowledge of the bands of the interference signals. Furthermore, we introduce the Expectation Maximization (EM) algorithm to our algorithm in order to estimate the transmitted signals and the interference signals simultaneously. The proposed algorithm may not require the pilot symbols in the assumed UWB system to detect the presence of other systems. By computer simulations, we show that the proposed algorithm validly detects the presence of interference signals on the UWB band.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.11.3130/_p
Salinan
@ARTICLE{e91-a_11_3130,
author={Masahiro FUJII, Atsushi MINAKAWA, Yu WATANABE, Makoto ITAMI, Kohji ITOH, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Interference Detection Based on AIC Using EM Algorithm for UWB MB-OFDM Systems},
year={2008},
volume={E91-A},
number={11},
pages={3130-3139},
abstract={In this paper, we propose a new algorithm to detect the presence of narrow band interference signals on the band of an Ultra Wide-Band (UWB) system when the UWB spectrum overlaps the bands of other narrow band wireless services. In our proposed algorithm for an UWB Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM) system, an appropriate model is selected from the assumed interference models based on the Akaike Information Criterion (AIC) which is an explicit theoretic criterion and a measure of fit of the model. The proposed algorithm does not need a priori information on the interference signals except that we can reduce a computational complexity to implement the algorithm if we have knowledge of the bands of the interference signals. Furthermore, we introduce the Expectation Maximization (EM) algorithm to our algorithm in order to estimate the transmitted signals and the interference signals simultaneously. The proposed algorithm may not require the pilot symbols in the assumed UWB system to detect the presence of other systems. By computer simulations, we show that the proposed algorithm validly detects the presence of interference signals on the UWB band.},
keywords={},
doi={10.1093/ietfec/e91-a.11.3130},
ISSN={1745-1337},
month={November},}
Salinan
TY - JOUR
TI - Interference Detection Based on AIC Using EM Algorithm for UWB MB-OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3130
EP - 3139
AU - Masahiro FUJII
AU - Atsushi MINAKAWA
AU - Yu WATANABE
AU - Makoto ITAMI
AU - Kohji ITOH
PY - 2008
DO - 10.1093/ietfec/e91-a.11.3130
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2008
AB - In this paper, we propose a new algorithm to detect the presence of narrow band interference signals on the band of an Ultra Wide-Band (UWB) system when the UWB spectrum overlaps the bands of other narrow band wireless services. In our proposed algorithm for an UWB Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM) system, an appropriate model is selected from the assumed interference models based on the Akaike Information Criterion (AIC) which is an explicit theoretic criterion and a measure of fit of the model. The proposed algorithm does not need a priori information on the interference signals except that we can reduce a computational complexity to implement the algorithm if we have knowledge of the bands of the interference signals. Furthermore, we introduce the Expectation Maximization (EM) algorithm to our algorithm in order to estimate the transmitted signals and the interference signals simultaneously. The proposed algorithm may not require the pilot symbols in the assumed UWB system to detect the presence of other systems. By computer simulations, we show that the proposed algorithm validly detects the presence of interference signals on the UWB band.
ER -