2014 IEEE Military Communications Conference 2014
DOI: 10.1109/milcom.2014.144
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Novel Interference Cancellation Technique Based on Matrix Computation for FTN Communication System

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Cited by 20 publications
(8 citation statements)
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“…Innertermofeqns. (5), (7) +M + The interference cancellation and detection process above is repeated until the last symbol is detected. Let us denote the detected symbols after the above process is repeated…”
Section: Qrd-m Algorithm For Ftn Signallingmentioning
confidence: 99%
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“…Innertermofeqns. (5), (7) +M + The interference cancellation and detection process above is repeated until the last symbol is detected. Let us denote the detected symbols after the above process is repeated…”
Section: Qrd-m Algorithm For Ftn Signallingmentioning
confidence: 99%
“…Introduction: Many researchers on 5G and advanced digital broadcasting have mainly investigated highly spectrum-efficient transmission technologies [1,2]. Recently, to meet the demand of high spectral efficiency, faster-than-Nyquist (FTN) signalling has received considerable attention [3][4][5][6][7]. The FTN signalling uses higher symbol rate than Nyquist rate and causes inter-symbol interference (ISI).…”
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confidence: 99%
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“…FDE (frequency-domain equalization), DFE (decision feedback equalization) 및 SIC (successive interference cancellation) 등 다양한 기법이 제안되었다 [4][5][6][7][8][9][10][11][12][13] .…”
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“…McGuire and Sima [13] introduced a method of implementing discrete block FTN signalling using matrix multiplication which would reduce the receiver complexity in case of AWGN channels. ISI cancellation strategy based on matrix computation is proposed in [14], simulation results show that the decision feedback equalisation (DFE) detection can give better detection performance than VA, however, since the matrix size is the same as the frame size, the memory size for matrix computation become too large, so the partial DFE (PDFE) is proposed later. Although the PDFE can reduce the complexity of ISI cancellation, due to only partial ISI is considered, the performance degradation is inevitable, and the complexity of the PDFE based on QR decomposition is still high.…”
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confidence: 99%