This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities o...This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities of PSO are managed by the key parameter Inertia Weight (IW). A higher value leads to global search whereas a smaller value shifts the search to local which makes convergence faster. Different approaches are reported in literature to improve PSO by modifying inertia weight. This work investigates the performance of the existing PSO variants related to time varying inertia weight methods and proposes new strategies to improve the convergence and mean square error of channel equalizer. Also the position update method in PSO is modified to achieve better convergence in channel equalization. The simulation presents the enhanced performance of the proposed techniques in transversal and decision feedback models. The simulation results also analyze the superiority in linear and nonlinear channel conditions.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
Response of adaptive matched filter, also called adaptive correlator, to multipath channel is discussed in this paper. It has been proved that the new type processor can better match with multipath chan -nel. The resu...Response of adaptive matched filter, also called adaptive correlator, to multipath channel is discussed in this paper. It has been proved that the new type processor can better match with multipath chan -nel. The results of experiment carried out on lake and in laboratory are presented. It shows that the processor has good detecting performance in time domain.展开更多
文摘This work proposes an improved inertia weight update method and position update method in Particle Swarm Optimization (PSO) to enhance the convergence and mean square error of channel equalizer. The search abilities of PSO are managed by the key parameter Inertia Weight (IW). A higher value leads to global search whereas a smaller value shifts the search to local which makes convergence faster. Different approaches are reported in literature to improve PSO by modifying inertia weight. This work investigates the performance of the existing PSO variants related to time varying inertia weight methods and proposes new strategies to improve the convergence and mean square error of channel equalizer. Also the position update method in PSO is modified to achieve better convergence in channel equalization. The simulation presents the enhanced performance of the proposed techniques in transversal and decision feedback models. The simulation results also analyze the superiority in linear and nonlinear channel conditions.
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.
文摘Response of adaptive matched filter, also called adaptive correlator, to multipath channel is discussed in this paper. It has been proved that the new type processor can better match with multipath chan -nel. The results of experiment carried out on lake and in laboratory are presented. It shows that the processor has good detecting performance in time domain.
