We propose a trellis-compressed maximum likelihood sequence estimation(TC-MLSE)-assisted sliding-block decision feedback equalizer(DFE)to suppress the error propagation resulting from the DFE in high-speed systems.We ...We propose a trellis-compressed maximum likelihood sequence estimation(TC-MLSE)-assisted sliding-block decision feedback equalizer(DFE)to suppress the error propagation resulting from the DFE in high-speed systems.We use an out-ofrange detector to detect the end of burst errors from the DFE and activate the optional TC-MLSE to correct burst errors.We conduct experiments to transmit a 201-Gbit/s PAM-8 signal.The results show that the proposed method achieves a bit error rate of 3.65×10^(-3),which is close to that of MLSE.The optional MLSE is only activated when needed and processes 11.4%of the total symbols.Moreover,the proposed method compresses the maximum length of burst errors from 19 to 5.展开更多
This paper first calculates numerically the Symmetric Information Rate (SIR) of Cotinuous Phase Modulation (CPM) schemes over Additive White Gaussian Noise (AWGN) channel, modeling CPM and channel as a Memory-less Mod...This paper first calculates numerically the Symmetric Information Rate (SIR) of Cotinuous Phase Modulation (CPM) schemes over Additive White Gaussian Noise (AWGN) channel, modeling CPM and channel as a Memory-less Modulator (MM) plus a Markov Finite State Channel (FSMC), then proposes an optimal detector, which is of BCJR based Decision Feedback Detector (DFD) but non-iterative. It can achieve the SIR as the sequence length approaches infinity while the complexity is extremely low. Finally, both theoretic proof and numerical simulation are performed to show the op- timality. Simulation results show that it nearly achieves the theoretic bound and outperforms the Viterbi Detector (VD) with 2dB in low Eb/N0.展开更多
超奈奎斯特（Faster Than Nyquist,FTN）信号是一种很有前途的无线通信技术,它能够在不影响频谱效率的情况下提高无线通信系统的数据传输速率。然而,FTN会存在符号间干扰（inter-symbol interference,ISI）,这样会使FTN的增益受损。为...超奈奎斯特（Faster Than Nyquist,FTN）信号是一种很有前途的无线通信技术,它能够在不影响频谱效率的情况下提高无线通信系统的数据传输速率。然而,FTN会存在符号间干扰（inter-symbol interference,ISI）,这样会使FTN的增益受损。为了抑制ISI带来的影响,本文使用一个鲁棒的带有Sphere Detector（SD）的判决反馈均衡器（Decision Feedback Equalizer,DFE）去处理FTN导致的ISI。它能大大降低系统的误码率并实现最大似然（Maximum Likelihood,ML）检测。通过仿真实验,结果表明,提出的算法性能更接近香农极限,相比传统的DFE,误码率会有1~2 d B的优势。展开更多
基金This work was supported by the National Natural Science Foundation of China(NSFC)(Nos.62301128,61871082,and 62111530150)the Open Fund of IPOC(BUPT)(No.IPOC2020A011)+1 种基金the STCSM(No.SKLSFO2021-01)the Fundamental Research Funds for the Central Universities(Nos.ZYGX2020ZB043 and ZYGX2019J008).
文摘We propose a trellis-compressed maximum likelihood sequence estimation(TC-MLSE)-assisted sliding-block decision feedback equalizer(DFE)to suppress the error propagation resulting from the DFE in high-speed systems.We use an out-ofrange detector to detect the end of burst errors from the DFE and activate the optional TC-MLSE to correct burst errors.We conduct experiments to transmit a 201-Gbit/s PAM-8 signal.The results show that the proposed method achieves a bit error rate of 3.65×10^(-3),which is close to that of MLSE.The optional MLSE is only activated when needed and processes 11.4%of the total symbols.Moreover,the proposed method compresses the maximum length of burst errors from 19 to 5.
基金Supported by the Key Industrial Research of Zhejiang Province (No. 2006C21009).
文摘This paper first calculates numerically the Symmetric Information Rate (SIR) of Cotinuous Phase Modulation (CPM) schemes over Additive White Gaussian Noise (AWGN) channel, modeling CPM and channel as a Memory-less Modulator (MM) plus a Markov Finite State Channel (FSMC), then proposes an optimal detector, which is of BCJR based Decision Feedback Detector (DFD) but non-iterative. It can achieve the SIR as the sequence length approaches infinity while the complexity is extremely low. Finally, both theoretic proof and numerical simulation are performed to show the op- timality. Simulation results show that it nearly achieves the theoretic bound and outperforms the Viterbi Detector (VD) with 2dB in low Eb/N0.
文摘超奈奎斯特（Faster Than Nyquist,FTN）信号是一种很有前途的无线通信技术,它能够在不影响频谱效率的情况下提高无线通信系统的数据传输速率。然而,FTN会存在符号间干扰（inter-symbol interference,ISI）,这样会使FTN的增益受损。为了抑制ISI带来的影响,本文使用一个鲁棒的带有Sphere Detector（SD）的判决反馈均衡器（Decision Feedback Equalizer,DFE）去处理FTN导致的ISI。它能大大降低系统的误码率并实现最大似然（Maximum Likelihood,ML）检测。通过仿真实验,结果表明,提出的算法性能更接近香农极限,相比传统的DFE,误码率会有1~2 d B的优势。
