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http://dx.doi.org/10.5515/KJKIEES.2012.23.4.491

Adaptive Channel Estimation and Decision Directed Noise Cancellation in the Frequency Domain Considering ICI of Digital on Channel Repeater in the T-DMB  

Kim, Gi-Young (Radio-Wave Monitoring Part, Daejeon Radio Management Office, Korea Communications Commission)
Ryu, Sang-Burm (Satellite Electronics Dept., Satellite Technology Division, Korea Aerospace Research Institute)
Ryu, Heung-Gyoon (Department of Electronic Engineering, Chungbuk National University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.23, no.4, 2012 , pp. 491-498 More about this Journal
Abstract
Recently, many papers have been proposed in order to improve the OFDM system performance in T-DMB DOCR (Digital On Channel Repeater), by using removing the feedback signal so that the transmitter power can be increased or by using the equalizer to remove ICI. Despite these efforts, however, signal quality at the receiving terminal has not been improved because of constellation smearing in T-DMB DOCR. In this paper, in order to suppress constellation smearing, we propose an effective equalizer algorithm that can improve system performance. We perform adaptive channel estimation and non-coherent decision directed noise cancellation method that can estimate the channel subsequently during data symbols period in the frequency domain. So we can obtain better quality of the signal at the receiving terminal. In order to secure QoS(Quality of Service) required in T-DMB handsets, we evaluate SNR and BER in T-DMB DOCR(Digital On Channel Repeater) and verified by simulation. In this simulation results, this system is satisfied the performance of BER=$10^{-5}$ at less than SNR=14 dB at the receiver after compensation of phase noise -18 dBc.
Keywords
T-DMB; Digital On Channel Repeater(DOCR); Feedback; ICI(Inter Carrier Interference); Effective Equalizer; Phase Noise; Decision Directed; Noise Cancellation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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