Based on the transform-domain characteristics of pilot signals,a band suppression filter is used as a transform-domain filter to restrain the interference of noise in channel estimation.The performance effect on chann...Based on the transform-domain characteristics of pilot signals,a band suppression filter is used as a transform-domain filter to restrain the interference of noise in channel estimation.The performance effect on channel estimation for an orthogonal frequency division multiplex （OFDM） system by different energy coefficients in the transform domain and the energy coefficient under the different signal-to-noise ratios （SNR） are also analyzed.A new energy coefficient expression is deduced.It is theoretically proven that dynamically selecting an energy coefficient can significantly improve the performance of channel estimation.Simulation results show that the proposed algorithm can achieve better performance close to the theoretic bounds of perfect channel estimation. The algorithm is adapted to single-input single-output （SISO） OFDM and multi-input multi-output （MIMO） OFDM systems.展开更多
The large bandwidth available with mmWave(millimeter Wave)makes it a promising candidate for 5th generation cellular networks.Proper channel estimation algorithms must be developed to enable beamforming in mmWave syst...The large bandwidth available with mmWave(millimeter Wave)makes it a promising candidate for 5th generation cellular networks.Proper channel estimation algorithms must be developed to enable beamforming in mmWave systems.In this paper,we propose an adaptive channel estimation algorithm that exploits the poor scattering nature of the mmWave channel and adjusts the training overhead adaptively with the change of channel quality for mmWave cellular systems.First,we use a short training sequence to estimate the channel parameters based on the two-dimensional discrete Fourier transform method.Then,we design a feedback scheme to adjust the length of the training sequence under the premise of ensuring the accuracy of the channel estimation.The key threshold in the feedback scheme is derived and its influence on the accuracy of the estimation results is analyzed.Simulation results confirm that the proposed algorithm can adjust the length of the training sequence adaptively according to the current channel condition maintaining a stable estimation accuracy.展开更多
文摘Based on the transform-domain characteristics of pilot signals,a band suppression filter is used as a transform-domain filter to restrain the interference of noise in channel estimation.The performance effect on channel estimation for an orthogonal frequency division multiplex （OFDM） system by different energy coefficients in the transform domain and the energy coefficient under the different signal-to-noise ratios （SNR） are also analyzed.A new energy coefficient expression is deduced.It is theoretically proven that dynamically selecting an energy coefficient can significantly improve the performance of channel estimation.Simulation results show that the proposed algorithm can achieve better performance close to the theoretic bounds of perfect channel estimation. The algorithm is adapted to single-input single-output （SISO） OFDM and multi-input multi-output （MIMO） OFDM systems.
基金supported by The National High Technology Research and Development Program of China(863 Program)(No.2015AA01A703)The Fundamental Research Funds for the Central Universities(No.2014ZD03-02)+1 种基金The National Natural Science Foundation of China(No.61571055)fund of State Key Laboratory of Millimeter Wave(No.K201501).
文摘The large bandwidth available with mmWave(millimeter Wave)makes it a promising candidate for 5th generation cellular networks.Proper channel estimation algorithms must be developed to enable beamforming in mmWave systems.In this paper,we propose an adaptive channel estimation algorithm that exploits the poor scattering nature of the mmWave channel and adjusts the training overhead adaptively with the change of channel quality for mmWave cellular systems.First,we use a short training sequence to estimate the channel parameters based on the two-dimensional discrete Fourier transform method.Then,we design a feedback scheme to adjust the length of the training sequence under the premise of ensuring the accuracy of the channel estimation.The key threshold in the feedback scheme is derived and its influence on the accuracy of the estimation results is analyzed.Simulation results confirm that the proposed algorithm can adjust the length of the training sequence adaptively according to the current channel condition maintaining a stable estimation accuracy.
