由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利...由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利于电网的绿化和供能的多元化.分布式电源通过逆变升压整流来维持APF直流侧的电容电压的稳定,而不需要消耗电网中的能量.针对畸变电压的工况,设计了自适应dq检测算法;在APF控制上采用了自适应模糊控制的策略,不仅能快速跟踪谐波电流,而且具有较强的鲁棒性.仿真结果验证了该系统设计的可行性和可靠性,证明了本文所提算法的有效性和正确性.展开更多
The wavelet transform-based adaptive multiuser detection algorithm is presented. The novel adaptive multiuser detection algorithm uses the wavelet transform for the preprocessing, and wavelet-transformed signal uses L...The wavelet transform-based adaptive multiuser detection algorithm is presented. The novel adaptive multiuser detection algorithm uses the wavelet transform for the preprocessing, and wavelet-transformed signal uses LMS algorithm to implement the adaptive multiuser detection. The algorithm makes use of wavelet transform to divide the wavelet space, which shows that the wavelet transform has a better decorrelation ability and leads to better convergence. White noise can be wiped off under the wavelet transform according to different characteristics of signal and white noise under the wavelet transform. Theoretical analyses and simulations demonstrate that the algorithm converges faster than the conventional adaptive multiuser detection algorithm, and has the better performance. Simulation results reveal that the algorithm convergence relates to the wavelet base, and show that the algorithm convergence gets better with the increasing of regularity for the same series of the wavelet base. Finally the algorithm shows that it can be easily implemented.展开更多
Based on minimum output energy,an improved blind multiuser detection algorithm is proposed by the use of Hopfield neural network.Compared with traditional algorithms,the proposed algorithm does not need the circuit fo...Based on minimum output energy,an improved blind multiuser detection algorithm is proposed by the use of Hopfield neural network.Compared with traditional algorithms,the proposed algorithm does not need the circuit for constraints.The resources are greatly saved and the complexity is reduced as well.The simulation results show that the performance of the improved algorithm is similar to that of the optimal multiuser detection algorithm which is not suitable for the mobile station.Compared with the traditional gradient blind multiuser detection algorithm,the convergence speed of the improved algorithm is quickened.展开更多
文摘由于分布式电源逆变并网发电与有源电力滤波器(active power filter,APF)在结构功能上具有相似性,本文提出了结合绿色分布式电源的有源电力滤波器拓扑结构,这种结构使APF除了能够滤除谐波外,还可以向负载供能,拓展了APF的应用范围,有利于电网的绿化和供能的多元化.分布式电源通过逆变升压整流来维持APF直流侧的电容电压的稳定,而不需要消耗电网中的能量.针对畸变电压的工况,设计了自适应dq检测算法;在APF控制上采用了自适应模糊控制的策略,不仅能快速跟踪谐波电流,而且具有较强的鲁棒性.仿真结果验证了该系统设计的可行性和可靠性,证明了本文所提算法的有效性和正确性.
文摘The wavelet transform-based adaptive multiuser detection algorithm is presented. The novel adaptive multiuser detection algorithm uses the wavelet transform for the preprocessing, and wavelet-transformed signal uses LMS algorithm to implement the adaptive multiuser detection. The algorithm makes use of wavelet transform to divide the wavelet space, which shows that the wavelet transform has a better decorrelation ability and leads to better convergence. White noise can be wiped off under the wavelet transform according to different characteristics of signal and white noise under the wavelet transform. Theoretical analyses and simulations demonstrate that the algorithm converges faster than the conventional adaptive multiuser detection algorithm, and has the better performance. Simulation results reveal that the algorithm convergence relates to the wavelet base, and show that the algorithm convergence gets better with the increasing of regularity for the same series of the wavelet base. Finally the algorithm shows that it can be easily implemented.
基金Supported by China Postdoctoral Science Foundation(No.20060390170)Science and Technology Development Foundation of Tianjin University(No.20060610)
文摘Based on minimum output energy,an improved blind multiuser detection algorithm is proposed by the use of Hopfield neural network.Compared with traditional algorithms,the proposed algorithm does not need the circuit for constraints.The resources are greatly saved and the complexity is reduced as well.The simulation results show that the performance of the improved algorithm is similar to that of the optimal multiuser detection algorithm which is not suitable for the mobile station.Compared with the traditional gradient blind multiuser detection algorithm,the convergence speed of the improved algorithm is quickened.
