FFT-Based Trellis Receiver for SEFDM Signals

Rashich, Andrey; Kislitsyn, Alexandr; Fadeev, Dmitrii K.; Nguyen, Tan N.

doi:10.1109/glocom.2016.7841841

Cited by 30 publications

(3 citation statements)

References 4 publications

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“…[19] [20] Proposed scheme Timing synchronization Carrier recovery Sampling frequency synchronization Phase recovery Detector tion (TSVD) was utilized to handle the subcarrier correlation matrix, which improves the detection performance obviously [13].To further enhance the performance of FSD detector, the TSVD-FSD detector was proposed, which applies the estimation of TSVD detector as the initialization of FSD detector [14]. Subsequently, several improved detectors, such as ID-FSD detector [15], [16], trellis detector [17], and factor graph-based iterative detector [18], were proposed to improve detection performance. Nevertheless, the above SEFDM detectors highly relies on a perfect synchronization, which is hard to realize in practice.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

Qi,

Zhang,

Feng

et al. 2023

IEEE Access

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Compared to orthogonal frequency division multiplexing (OFDM), spectrally efficient frequency division multiplexing (SEFDM) provides higher spectrum efficiency, which has been regarded as a promising waveform for future wireless communications. Against this background, the design of SEFDM receiver is investigated in this paper, considering its sampling frequency synchronization (SFS), timing synchronization, phase recovery, and detector design. Specifically, a two-step SFS module, which consists of a coarse sampling frequency offset (SFO) compensation and a frequency domain zero-forcing based fine estimation, is proposed first. Next, a low-complexity timing synchronization scheme is designed to avoid excessive multipliers and look-up-tables. Furthermore, an SFO-based phase recovery is proposed, which shares the compensation and SFO estimation with SFS module, thus further reducing the complexity of SEFDM receiver. Finally, TSVD-FSD based detector has been studied to efficiently eliminate intercarrier interference. Simulation results demonstrate the superiority of our proposed SEFDM receiver, where the transmission rate can be improved by 25% at a loss of only 0.7dB bit error ratio compared to OFDM. Finally, field programmable gate array (FPGA) based implementation is carried out to verify the effectiveness of our proposed SEFDM receiver in practice.INDEX TERMS Spectrally efficient frequency division multiplexing (SEFDM), sampling frequency synchronization (SFS), low-complexity implementation structure, field programmable gate array (FPGA)

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

Qi,

Zhang,

Feng

et al. 2023

IEEE Access

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“…Time–frequency domain filters, such as FDSS [ 20 ], prototype filters, and shaping filters, can effectively improve the performance of the waveform by changing the time–frequency domain characteristics, and can be flexibly designed for specific sensing or communication properties. For example, the schemes of pruned DFT-spread filter bank multicarrier (FBMC) [ 21 , 22 ], FFT-based spectrally efficient frequency-division multiplexing (SEFDM) [ 23 , 24 ], and more compact faster-than-Nyquist (FTN) signals [ 25 ] have different tradeoffs between PAPR, BER, and spectrum efficiency (SE). Frequency-domain spectral shaping on DFT-s-OFDM for SE and PAPR performance has been proposed [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

FDSS-Based DFT-s-OFDM for 6G Wireless Sensing

Chen

Pan

Zhang

et al. 2023

Sensors

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Integrated sensing and communications (ISAC) is emerging as a key technology of 6G. Owing to the low peak-to-average power ratio (PAPR) property, discrete Fourier transform spread orthogonal frequency-division multiplexing (DFT-s-OFDM) is helpful to improve the sensing range and suitable for high-frequency transmission. However, compared to orthogonal frequency-division multiplexing (OFDM), the sensing accuracy of DFT-s-OFDM is relatively poor. In this paper, frequency-domain spectral shaping (FDSS) is adopted to enhance the performances of DFT-s-OFDM including sensing accuracy and PAPR by adjusting the correlation of signals. Specifically, we first establish a signal model for the ISAC system, followed by the description of performance indicators. Then, we analyze the influence of amplitude fluctuation of frequency domain signals on sensing performance, which shows the design idea of FDSS-enhanced DFT-s-OFDM. Further, a FDSS-enhanced DFT-s-OFDM framework is introduced for ISAC, where two types of FDSS filters including a pre-equalization filter and an isotropic orthogonal transform algorithm (IOTA) filter are designed. The simulation results show that the proposed scheme can obtain about 4 dB performance gain in terms of sensing accuracy over DFT-s-OFDM. In addition, FDSS-enhanced DFT-s-OFDM can significantly reduce PAPR and improve the power amplifier efficiency.

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“…More recently, Huang et al [7] achieved rates of up to 20 Gb/s in optical SEFDM using a cascaded binaryphase-shift-keying iterative detection (CBID) algorithm in conjunction with a fixed sphere decoder (FSD). At the same time, Rashich et al [8] designed an FFT-based Trellis Receiver to recover SEFDM signals having hundreds of subcarriers.…”

Section: Introductionmentioning

confidence: 99%

Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems

Grammenos

2019

2019 27th European Signal Processing Conference (EUSIPCO)

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In this paper, we report on the design of a Complexity-Reduced Maximum Likelihood (CRML) detector for DFT-spread Spectrally Efficient Frequency Division Multiplexing (DFT-s-SEFDM) systems. DFT-s-SEFDM systems are similar to DFT-spread Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) systems, yet offer improved spectral efficiency.Simulation results demonstrate that the CRML detector can achieve the same bit error rate (BER) performance as the ML detector in DFT-s-SEFDM systems at reduced computational complexity. Specifically, compared to a conventional ML detector, it is shown that CRML can decrease the search region by up to ! " times where M denotes the constellation cardinality. Depending on parameter configuration, CRML can offer up to two orders of magnitude improvement in execution runtime performance. CRML is best-suited to applications with small system sizes, for example, in narrowband Internet of Things (NB-IoT) networks.

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FFT-Based Trellis Receiver for SEFDM Signals

Cited by 30 publications

References 4 publications

Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

FDSS-Based DFT-s-OFDM for 6G Wireless Sensing

Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems

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