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학술대회 Enhanced DFT-Based Channel Estimation for LDM Systems over SFN Channels
Cited 5 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
Liang Zhang, Yiyan Wu, Wei Li, Zhihong Hong, Khalil Salehian, 김흥묵, 박성익, 이재영, Pablo Angueira, Jon Montalban, Manuel Velez
International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) 2015, pp.1-6
15MR3300, (통합)융합형 실감방송 서비스 및 전송 기술 개발, 허남호
Layered-Division-Multiplexing (LDM) technology is a non-orthogonal multiplexing (NOM) technology which enables efficient transmission of multiple signals with different robustness and throughput requirements. By performing efficient noise filtering, DFT-based channel estimation (DFT-CE) method has been shown to be able to provide near-optimal performance with low complexity in a Typical Urban (TU) fading channel environment. On the other hand, in a Single-Frequency-Network (SFN) deployment, a receiver often faces the more challenging SFN channels, in which large delays are found between the signals received from different transmitters. This could significantly degrade the mobile performance of the future OFDM-based digital TV (DTV) system. In this paper, we propose a DFT-CE technique based on sub-window filtering (SubWin-DFT-CE). We show that the proposed method is able to significantly improve the mobile performance for SFN channels even with a delay spread close to the guard interval (GI) duration.
ATSC 3.0, channel estimation, Cloud Transmission, DTV, LDM, mobile TV, single frequency network
KSP 제안 키워드
ATSC 3.0, Channel estimation(CE), Cloud Transmission, DFT-based Channel Estimation, Delay spread, Mobile TV, Noise filtering, Non-orthogonal multiplexing, digital TV, efficient transmission, fading channel