低轨卫星通信凭借低传输时延和组网灵活等优势,正成为新一代卫星通信的关键技术。广义频分复用(Generalized Frequency Division Multiplexing,GFDM)作为候选波形,能够满足低轨卫星通信各种应用场景需求。在基于GFDM的低轨卫星通信系统...低轨卫星通信凭借低传输时延和组网灵活等优势,正成为新一代卫星通信的关键技术。广义频分复用(Generalized Frequency Division Multiplexing,GFDM)作为候选波形,能够满足低轨卫星通信各种应用场景需求。在基于GFDM的低轨卫星通信系统中,由于GFDM子载波间非正交特性以及低轨卫星信道存在时间-频率双选择性,导致数据符号受到严重的子载波间干扰和子符号间干扰,传统信道估计算法难以实现可靠的数据传输。现有的基于离散导频的迭代信道估计和信号检测算法(Iterative Channel Estimation and Signal Detection Algorithm Based on Discrete Pilots,ICESD-DP)虽然提高了在双选信道下信道估计的准确性,但需要付出高昂的计算成本。为解决上述问题,提出了一种基于判决重构符号的迭代信道估计和干扰消除算法(Iterative Channel Estimation and Interference Cancellation Algorithm Based on Judgment Reconstructed Symbols,ICEIC-JRS),使用经过干扰预处理的导频进行初始信道估计和均衡,在每次迭代中利用Turbo译码器生成的判决重构符号估计数据符号的有效增益和干扰增益,继而对接收符号进行干扰消除,以提高信道估计与符号检测的精度。仿真结果表明,与ICESD-DP相比,ICEIC-JRS在较多迭代次数下表现出更优异的误码率(Bit Error Rate,BER)和均方误差(Mean Square Error,MSE)性能,且ICEIC-JRS的单次迭代复杂度下降了一个数量级,更适用于对运算复杂度有较高要求的低轨卫星通信系统。展开更多
Recently, integrated Satellite-Terrestrial(S-T) communication system, especially the integration of satellite communication with 5G/6G, is regarded as a research hotpot. Future integrated S-T communication systems are...Recently, integrated Satellite-Terrestrial(S-T) communication system, especially the integration of satellite communication with 5G/6G, is regarded as a research hotpot. Future integrated S-T communication systems are demanding a more compatible and robust physical layer waveform. Considering physical layer access waveform design, this paper proposed a novel Spread Spectrum Generalized Frequency Division Multiplexing(SS-GFDM) scheme for integrated S-T communication system. Traditional GFDM has many advantages such as excellent adaptability and low out-ofband(OOB) radiation. However, because of intrinsic inter carrier interference(ICI) and low signal-to-noise ratio(SNR), the multiple access performance is degraded. In this paper, we introduced CDMA technology into GFDM. Two different spread spectrum modes, Cyclic Code Shift Keying(CCSK) soft spread spectrum and Direct Sequence Spread Spectrum(DSSS), are considered and compared in this paper to illustrate the benefits of GFDM-CDMA in low SNR scenario. Moreover, this scheme integrates the slot-ALOHA protocol with GFDM-CDMA, which extends access freedom in frequency, time and code domain. The simulation and analysis results show that the proposed GFDM-CDMA scheme reduces the performance degradation caused by interference. It is effective in typical satellite channel with low complexity. Meanwhile, the peak-average-power-ratio(PAPR) and access performance has been enhanced significantly.展开更多
针对当前广义频分复用(Generalized Frequency Division Multiplexing,GFDM)系统时变信道估计精度低的问题,提出基于稀疏贝叶斯学习的GFDM系统联合信道估计与符号检测算法.具体地,采用无干扰导频插入的GFDM多重响应信号模型,在稀疏贝叶...针对当前广义频分复用(Generalized Frequency Division Multiplexing,GFDM)系统时变信道估计精度低的问题,提出基于稀疏贝叶斯学习的GFDM系统联合信道估计与符号检测算法.具体地,采用无干扰导频插入的GFDM多重响应信号模型,在稀疏贝叶斯学习框架下,结合期望最大化算法(Expectation-Maximization,EM)和卡尔曼滤波与平滑算法实现块时变信道的最大似然估计;基于信道状态信息的估计值进行GFDM符号检测,并通过信道估计与符号检测的迭代处理逐步提高信道估计与符号检测的精度.仿真结果表明,所提算法能够获得接近完美信道状态信息条件下的误码率性能,且具有收敛速度快、对多普勒频移鲁棒性高等优点.展开更多
为解决广义频分复用(Generalized Frequency Division Multiplexing,GFDM)系统中由于高功率放大器(High Power Amplifier,HPA)引起的非线性失真,在考虑放大器测量噪声的情况下,提出了一种基于实部反馈和列文伯格-马奎尔特算法(Real Valu...为解决广义频分复用(Generalized Frequency Division Multiplexing,GFDM)系统中由于高功率放大器(High Power Amplifier,HPA)引起的非线性失真,在考虑放大器测量噪声的情况下,提出了一种基于实部反馈和列文伯格-马奎尔特算法(Real Valued Feedback Levenberg-Marquard Predistortion,R-LM-PD)的自适应预失真方案。该方案采用记忆多项式模型(Memory Polynomial,MP)模拟HPA的逆函数,只利用输出反馈信号和期望信号的实部分量计算预失真器系数。同时,该方案选择收敛速度快、精确度高的LM算法进行参数辨识。仿真结果表明,该方案相比传统直接学习结构可以减少一个反馈支路,在信噪比为16 dB时,误比特率可达到5.1×10^(-6),归一化均方误差相较无预失真时降低了约17 dB。与现有的一些补偿方案相比,该方案具有更好的线性化和抗噪声性能。展开更多
Low-resolution analog-to-digital converter(ADC)is a promising solution to reduce hardware cost and power consumption in generalized frequency division multiplexing(GFDM)systems.The severe nonlinear distortion of ADCs ...Low-resolution analog-to-digital converter(ADC)is a promising solution to reduce hardware cost and power consumption in generalized frequency division multiplexing(GFDM)systems.The severe nonlinear distortion of ADCs and the non-orthogonality of GFDM make receiver design a great challenge.In this paper,we propose a novel model-driven receiver architecture for GFDM with low-resolution ADCs.Orthogonal approximate message passing(OAMP)framework is combined with the classical linear estimator in this work to create a robust iterative receiver for GFDM systems with low-precision ADCs.The corresponding model-driven network is organized based on the proposed novel iterative algorithm according to the procedures of the receiver.The network of OAMP can reduce the gap between the approximate algorithm and the Bayesian optimal result due to the information loss of ADCs.The signal flow of the neural network is designed by unfolding the iterative algorithms for channel estimation and data detection.Numerical results are provided to show that the proposed OAMP-based receiver algorithm outperforms traditional receivers and the model-driven network can further improve the system performance on the basis of the corresponding novel algorithm.展开更多
针对采用GFDM(Generalized Frequency Division Multiplex)多载波调制的移动通信系统中,非正交性引起的ICI(Inter Carrier Interference)、OOBE(Out of Band Emission)问题,以及在衰落信道条件下存在的时域、频域选择性衰落问题,提出了...针对采用GFDM(Generalized Frequency Division Multiplex)多载波调制的移动通信系统中,非正交性引起的ICI(Inter Carrier Interference)、OOBE(Out of Band Emission)问题,以及在衰落信道条件下存在的时域、频域选择性衰落问题,提出了根据干扰信号能量预估值来调整原型滤波器参数以降低干扰的方法.在此基础上,采用结合了压缩感知的低复杂度预编码算法,在降低计算复杂度的同时能进一步提高频谱效率.使用Matlab软件搭建模型验证上述方法,仿真结果表明,采用上述降低干扰的方法可以将GFDM系统BER(Bit Error Rate)控制在较低水平.展开更多
文摘低轨卫星通信凭借低传输时延和组网灵活等优势,正成为新一代卫星通信的关键技术。广义频分复用(Generalized Frequency Division Multiplexing,GFDM)作为候选波形,能够满足低轨卫星通信各种应用场景需求。在基于GFDM的低轨卫星通信系统中,由于GFDM子载波间非正交特性以及低轨卫星信道存在时间-频率双选择性,导致数据符号受到严重的子载波间干扰和子符号间干扰,传统信道估计算法难以实现可靠的数据传输。现有的基于离散导频的迭代信道估计和信号检测算法(Iterative Channel Estimation and Signal Detection Algorithm Based on Discrete Pilots,ICESD-DP)虽然提高了在双选信道下信道估计的准确性,但需要付出高昂的计算成本。为解决上述问题,提出了一种基于判决重构符号的迭代信道估计和干扰消除算法(Iterative Channel Estimation and Interference Cancellation Algorithm Based on Judgment Reconstructed Symbols,ICEIC-JRS),使用经过干扰预处理的导频进行初始信道估计和均衡,在每次迭代中利用Turbo译码器生成的判决重构符号估计数据符号的有效增益和干扰增益,继而对接收符号进行干扰消除,以提高信道估计与符号检测的精度。仿真结果表明,与ICESD-DP相比,ICEIC-JRS在较多迭代次数下表现出更优异的误码率(Bit Error Rate,BER)和均方误差(Mean Square Error,MSE)性能,且ICEIC-JRS的单次迭代复杂度下降了一个数量级,更适用于对运算复杂度有较高要求的低轨卫星通信系统。
基金sponsored by National Natural Science Foundation of China (No. 61871422, No. 61801319)Chinese ministry funds (No.6140518050316, No.6141B06290101)
文摘Recently, integrated Satellite-Terrestrial(S-T) communication system, especially the integration of satellite communication with 5G/6G, is regarded as a research hotpot. Future integrated S-T communication systems are demanding a more compatible and robust physical layer waveform. Considering physical layer access waveform design, this paper proposed a novel Spread Spectrum Generalized Frequency Division Multiplexing(SS-GFDM) scheme for integrated S-T communication system. Traditional GFDM has many advantages such as excellent adaptability and low out-ofband(OOB) radiation. However, because of intrinsic inter carrier interference(ICI) and low signal-to-noise ratio(SNR), the multiple access performance is degraded. In this paper, we introduced CDMA technology into GFDM. Two different spread spectrum modes, Cyclic Code Shift Keying(CCSK) soft spread spectrum and Direct Sequence Spread Spectrum(DSSS), are considered and compared in this paper to illustrate the benefits of GFDM-CDMA in low SNR scenario. Moreover, this scheme integrates the slot-ALOHA protocol with GFDM-CDMA, which extends access freedom in frequency, time and code domain. The simulation and analysis results show that the proposed GFDM-CDMA scheme reduces the performance degradation caused by interference. It is effective in typical satellite channel with low complexity. Meanwhile, the peak-average-power-ratio(PAPR) and access performance has been enhanced significantly.
文摘针对当前广义频分复用(Generalized Frequency Division Multiplexing,GFDM)系统时变信道估计精度低的问题,提出基于稀疏贝叶斯学习的GFDM系统联合信道估计与符号检测算法.具体地,采用无干扰导频插入的GFDM多重响应信号模型,在稀疏贝叶斯学习框架下,结合期望最大化算法(Expectation-Maximization,EM)和卡尔曼滤波与平滑算法实现块时变信道的最大似然估计;基于信道状态信息的估计值进行GFDM符号检测,并通过信道估计与符号检测的迭代处理逐步提高信道估计与符号检测的精度.仿真结果表明,所提算法能够获得接近完美信道状态信息条件下的误码率性能,且具有收敛速度快、对多普勒频移鲁棒性高等优点.
基金This work was supported in part by the National Key Research and Development Program(2018YFA0701602)the National Natural Science Foundation of China for Distinguished Young Scholars of China(Nos.61625106,61531011)+1 种基金The work of C.K.Wen was supported in part by the Ministry of Science and Technology of Taiwan(MOST 106-2221-E-110-019)the ITRI in Hsinchu,Taiwan,China。
文摘Low-resolution analog-to-digital converter(ADC)is a promising solution to reduce hardware cost and power consumption in generalized frequency division multiplexing(GFDM)systems.The severe nonlinear distortion of ADCs and the non-orthogonality of GFDM make receiver design a great challenge.In this paper,we propose a novel model-driven receiver architecture for GFDM with low-resolution ADCs.Orthogonal approximate message passing(OAMP)framework is combined with the classical linear estimator in this work to create a robust iterative receiver for GFDM systems with low-precision ADCs.The corresponding model-driven network is organized based on the proposed novel iterative algorithm according to the procedures of the receiver.The network of OAMP can reduce the gap between the approximate algorithm and the Bayesian optimal result due to the information loss of ADCs.The signal flow of the neural network is designed by unfolding the iterative algorithms for channel estimation and data detection.Numerical results are provided to show that the proposed OAMP-based receiver algorithm outperforms traditional receivers and the model-driven network can further improve the system performance on the basis of the corresponding novel algorithm.
文摘针对采用GFDM(Generalized Frequency Division Multiplex)多载波调制的移动通信系统中,非正交性引起的ICI(Inter Carrier Interference)、OOBE(Out of Band Emission)问题,以及在衰落信道条件下存在的时域、频域选择性衰落问题,提出了根据干扰信号能量预估值来调整原型滤波器参数以降低干扰的方法.在此基础上,采用结合了压缩感知的低复杂度预编码算法,在降低计算复杂度的同时能进一步提高频谱效率.使用Matlab软件搭建模型验证上述方法,仿真结果表明,采用上述降低干扰的方法可以将GFDM系统BER(Bit Error Rate)控制在较低水平.
