An efficient compensation scheme combining a timedomain Gaussian elimination(GE) channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing(OFDM) systems with ...An efficient compensation scheme combining a timedomain Gaussian elimination(GE) channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing(OFDM) systems with frequencydependent in-phase and quadrature-phase(IQ) imbalances at both transmitter and receiver.Compared with the traditional least square and least mean square compensation schemes,the proposed compensation scheme achieves the same bit error rate as the ideal IQ branches by using only two training OFDM symbols instead of about 20 OFDM symbols.展开更多
针对传统的频域批处理LMS(Frequency-domain Block Least Mean Square,FBLMS)算法在收敛速度和稳态误差之间存在矛盾的问题,不同于变步长LMS算法,提出了一种新的变块长频域批处理LMS算法,采用自适应改变的批处理块块长的方法来协调解决...针对传统的频域批处理LMS(Frequency-domain Block Least Mean Square,FBLMS)算法在收敛速度和稳态误差之间存在矛盾的问题,不同于变步长LMS算法,提出了一种新的变块长频域批处理LMS算法,采用自适应改变的批处理块块长的方法来协调解决这个矛盾。通过Matlab对提出的算法进行计算机仿真,结果表明相比于传统的FBLMS算法,新算法具有更快的收敛速度和更小的稳态误差。展开更多
基金supported by the National Natural Science Fundation of China(6127123061172073)the Open Research Fund of National Mobile Communications Research Lab(2010D13)
文摘An efficient compensation scheme combining a timedomain Gaussian elimination(GE) channel estimator and a frequency-domain GE equalizer is proposed for orthogonal frequency division multiplexing(OFDM) systems with frequencydependent in-phase and quadrature-phase(IQ) imbalances at both transmitter and receiver.Compared with the traditional least square and least mean square compensation schemes,the proposed compensation scheme achieves the same bit error rate as the ideal IQ branches by using only two training OFDM symbols instead of about 20 OFDM symbols.
文摘针对传统的频域批处理LMS(Frequency-domain Block Least Mean Square,FBLMS)算法在收敛速度和稳态误差之间存在矛盾的问题,不同于变步长LMS算法,提出了一种新的变块长频域批处理LMS算法,采用自适应改变的批处理块块长的方法来协调解决这个矛盾。通过Matlab对提出的算法进行计算机仿真,结果表明相比于传统的FBLMS算法,新算法具有更快的收敛速度和更小的稳态误差。