In this paper,a two-dimensional(2 D)direction-of-arrival(DOA)estimation algorithm with increased degrees of freedom for two parallel linear arrays is presented.Being different from the conventional two-parallel linear...In this paper,a two-dimensional(2 D)direction-of-arrival(DOA)estimation algorithm with increased degrees of freedom for two parallel linear arrays is presented.Being different from the conventional two-parallel linear array,the proposed two-parallel linear array consists of two uniform linear arrays with non-equal inter-element spacing.Propagator method(PM)is used to obtain a special matrix which can be utilized to increase the virtual elements of one of uniform linear arrays.Then,the PM algorithm is used again to obtain automatically paired elevation and azimuth angles.The simulation results and complexity analysis show that the proposed method can increase the number of distinguishable signals and improve the estimation precision without increasing the computational complexity.展开更多
In this paper, simultaneous inversions for hypocentres and three-dimensional (3-D) crustral P-wave velocitystructure of Ningxia and its neighborhood are performed, by using the data of direct P wave, reflected Pm andr...In this paper, simultaneous inversions for hypocentres and three-dimensional (3-D) crustral P-wave velocitystructure of Ningxia and its neighborhood are performed, by using the data of direct P wave, reflected Pm andrefracted Pn phases from the Moho discontinuity. The number of arrival-time applied to the inversion is 11 816total, which are recorded by the Seismic Station Network of Ningxia from 1 107 local natural earthquakes happened since 1970. The LSQR algorithm with damping that has been developed in recent years to solve the largescale sparse matrix is adopted. At different steps of iterative computing process, weighting is made on the actionsof each earthquake at first and on each ray further, to aim at the inhomogeneous features of spatial distribution ofearthquake and ray. Numerical analogue and computational results of actual multi-group data and different iterative control processes, show that under a certain residual standard, there is obvious trade-off on the assignment oftravel-time residuals between medium parameters and earthquakes parameters (especially the origin time anddepth of earthquake), so the obtained solution is related to the selected initial values of medium parameters tosome extent, but there are the basically same variation features on different results in the almost same area. That isthe solution of surface layer has a close relation to the strata and landform. In Yinchuan basin there is obvious lowvelocity feature. and it coincides with the results of a man-made earthquake section crossing the region, tomographic patterns show that there are many low velocity regions in middle-lower crust, and it seems to have someconnections between the positions of historical strong earthquakes and the low velocity region or the anomalousvariations of velocity gradient.展开更多
基金supported by the National Natural Science Foundation of China(51877015,U1831117)the Cooperation Agreement Foundation by the Department of Science and Technology of Guizhou Province of China(LH[2017]7320,LH[2017]7321,[2015]7249)+2 种基金the Innovation Group Major Research Program Funded by Guizhou Provincial Education Department(KY[2016]051)the Foundation of Top-notch Talents by Education Department of Guizhou Province of China(KY[2018]075)PhD Research Startup Foundation of Tongren University(trxy DH1710)。
文摘In this paper,a two-dimensional(2 D)direction-of-arrival(DOA)estimation algorithm with increased degrees of freedom for two parallel linear arrays is presented.Being different from the conventional two-parallel linear array,the proposed two-parallel linear array consists of two uniform linear arrays with non-equal inter-element spacing.Propagator method(PM)is used to obtain a special matrix which can be utilized to increase the virtual elements of one of uniform linear arrays.Then,the PM algorithm is used again to obtain automatically paired elevation and azimuth angles.The simulation results and complexity analysis show that the proposed method can increase the number of distinguishable signals and improve the estimation precision without increasing the computational complexity.
文摘In this paper, simultaneous inversions for hypocentres and three-dimensional (3-D) crustral P-wave velocitystructure of Ningxia and its neighborhood are performed, by using the data of direct P wave, reflected Pm andrefracted Pn phases from the Moho discontinuity. The number of arrival-time applied to the inversion is 11 816total, which are recorded by the Seismic Station Network of Ningxia from 1 107 local natural earthquakes happened since 1970. The LSQR algorithm with damping that has been developed in recent years to solve the largescale sparse matrix is adopted. At different steps of iterative computing process, weighting is made on the actionsof each earthquake at first and on each ray further, to aim at the inhomogeneous features of spatial distribution ofearthquake and ray. Numerical analogue and computational results of actual multi-group data and different iterative control processes, show that under a certain residual standard, there is obvious trade-off on the assignment oftravel-time residuals between medium parameters and earthquakes parameters (especially the origin time anddepth of earthquake), so the obtained solution is related to the selected initial values of medium parameters tosome extent, but there are the basically same variation features on different results in the almost same area. That isthe solution of surface layer has a close relation to the strata and landform. In Yinchuan basin there is obvious lowvelocity feature. and it coincides with the results of a man-made earthquake section crossing the region, tomographic patterns show that there are many low velocity regions in middle-lower crust, and it seems to have someconnections between the positions of historical strong earthquakes and the low velocity region or the anomalousvariations of velocity gradient.