Compared with conventional multiple-input multiple-output(MIMO),massive MIMO system with tens or even hundreds of antennas is able to give better performance in capacity and spectral efficiency,which is a promising te...Compared with conventional multiple-input multiple-output(MIMO),massive MIMO system with tens or even hundreds of antennas is able to give better performance in capacity and spectral efficiency,which is a promising technology for 5G.Considering this,massive MIMO has become a hot research topic all over the world.In this paper,the channel measurements and models of massive MIMO in recent years are summarized.Besides,the related 256 antenna elements with 200 MHz bandwidth at 3.5 GHz proposed by our team,the verification of rationality of the measurement method,and the spatial evolution of clusters in mobile scenario are provided.展开更多
Geometric error is the main factor affecting the machining accuracy of hybrid machine tools.Kinematic calibration is an effective way to improve the geometric accuracy of hybrid machine tools.The necessity to measure ...Geometric error is the main factor affecting the machining accuracy of hybrid machine tools.Kinematic calibration is an effective way to improve the geometric accuracy of hybrid machine tools.The necessity to measure both position and orientation at each pose,as well as the instability of identification in case of incomplete measurements,severely affects the application of traditional calibration methods.In this study,a kinematic calibration method with high measurement efficiency and robust identification is proposed to improve the kinematic accuracy of a five-axis hybrid machine tool.First,the configuration is introduced,and an error model is derived.Further,by investigating the mechanism error characteristics,a measurement scheme that only requires tool centre point position error measurement and one alignment operation is proposed.Subsequently,by analysing the effects of unmeasured degrees of freedom(DOFs)on other DOFs,an improved nonlinear least squares method based on virtual measurement values is proposed to achieve stable parameter identification in case of incomplete measurement,without introducing additional parameters.Finally,the proposed calibration method is verified through simulations and experiments.The proposed method can efficiently accomplish the kinematic calibration of the hybrid machine tool.The accuracy of the hybrid machine tool is significantly improved after calibration,satisfying actual aerospace machining requirements.展开更多
基金supported in part by National Natural Science Foundation of China(61322110,6141101115)in part by National Science and Technology Major Project of the Ministry of Science and Technology(2015ZX03002008)+2 种基金in part by National Key Technology Research and Development Program(2012BAF14B01)“863”Program(2015AA01A703)Doctoral Fund of Ministry of Education(201300051100013).
文摘Compared with conventional multiple-input multiple-output(MIMO),massive MIMO system with tens or even hundreds of antennas is able to give better performance in capacity and spectral efficiency,which is a promising technology for 5G.Considering this,massive MIMO has become a hot research topic all over the world.In this paper,the channel measurements and models of massive MIMO in recent years are summarized.Besides,the related 256 antenna elements with 200 MHz bandwidth at 3.5 GHz proposed by our team,the verification of rationality of the measurement method,and the spatial evolution of clusters in mobile scenario are provided.
基金supported by the National Natural Science Foundation of China(Nos.52275442 and 51975319)。
文摘Geometric error is the main factor affecting the machining accuracy of hybrid machine tools.Kinematic calibration is an effective way to improve the geometric accuracy of hybrid machine tools.The necessity to measure both position and orientation at each pose,as well as the instability of identification in case of incomplete measurements,severely affects the application of traditional calibration methods.In this study,a kinematic calibration method with high measurement efficiency and robust identification is proposed to improve the kinematic accuracy of a five-axis hybrid machine tool.First,the configuration is introduced,and an error model is derived.Further,by investigating the mechanism error characteristics,a measurement scheme that only requires tool centre point position error measurement and one alignment operation is proposed.Subsequently,by analysing the effects of unmeasured degrees of freedom(DOFs)on other DOFs,an improved nonlinear least squares method based on virtual measurement values is proposed to achieve stable parameter identification in case of incomplete measurement,without introducing additional parameters.Finally,the proposed calibration method is verified through simulations and experiments.The proposed method can efficiently accomplish the kinematic calibration of the hybrid machine tool.The accuracy of the hybrid machine tool is significantly improved after calibration,satisfying actual aerospace machining requirements.
