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
본 논문에서는 이동하는 차량에서 디지털 위성방송 수신을 향상시키는 방법을 제안한다. 일부 연구에 따르면, 다음 세대에서는 모바일 수신에 사용되는 안테나가 더 작아지고 낮은 반송파 대 잡음비에서 지연이 발생하는 페이딩 다중 경로 채널로 인해 수신이 더 어려워질 것이라고 합니다. 지연이 있는 페이딩 다중 경로 채널로 인해 발생하는 심볼 간 간섭을 줄이기 위해 일반적으로 사용되는 접근 방식은 파일럿 시퀀스와 다이버시티 수신입니다. 그러나 디지털 위성방송은 채널 추정을 위한 파일럿 시퀀스를 전송하지 않으며 차량에 다중 안테나를 설치할 수 없습니다. 본 논문에서는 방송 표준에 대한 변경을 제안하지는 않지만 더 나은 결과를 얻기 위해 현재 사용 가능한 디지털 위성 신호를 처리하는 방법에 대해 논의합니다. 우리의 방법은 파일럿 시퀀스나 다이버시티 수신에 의존하지 않고 채널 추정과 확률론적 추론 방법으로 구성됩니다. 각 작업에 대해 두 가지 방법이 제안됩니다. 추정을 위해 최대 우도 추정과 고차 통계 매칭 방법을 제안하고, 확률적 추론을 위해 결합 확률 추론 방법과 한계를 제안합니다. 수치 시뮬레이션과 실제 데이터를 이용한 실험을 통해 개선 사항을 확인했습니다. 향후 구현을 위해 계산 비용도 논의됩니다.
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부
Masatoshi HAMADA, Shiro IKEDA, "Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 12, pp. 3886-3898, December 2008, doi: 10.1093/ietcom/e91-b.12.3886.
Abstract: This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.12.3886/_p
부
@ARTICLE{e91-b_12_3886,
author={Masatoshi HAMADA, Shiro IKEDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception},
year={2008},
volume={E91-B},
number={12},
pages={3886-3898},
abstract={This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.},
keywords={},
doi={10.1093/ietcom/e91-b.12.3886},
ISSN={1745-1345},
month={December},}
부
TY - JOUR
TI - Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception
T2 - IEICE TRANSACTIONS on Communications
SP - 3886
EP - 3898
AU - Masatoshi HAMADA
AU - Shiro IKEDA
PY - 2008
DO - 10.1093/ietcom/e91-b.12.3886
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2008
AB - This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.
ER -