Most existing two dimensional（2-D）angles of arrival（AOAs）estimation methods are based on the assumption that the signal sources are point sources.However,in mobile communications,local scattering in the vicinity o...Most existing two dimensional（2-D）angles of arrival（AOAs）estimation methods are based on the assumption that the signal sources are point sources.However,in mobile communications,local scattering in the vicinity of the mobile results in angular spreading as seen from a base station antenna array.In this paper,we consider the problem of estimating the 2-D AOAs of spatially distributed sources.First we perform blind estimation of the steering vectors by exploiting joint diagonalization,then the 2-D AOAs are obtained through two fast Fourier transforming of the estimated steering vectors.Simulations are carried out to illustrate the performance of the method.展开更多
Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the ...Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise（AWGN）channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.展开更多
In this paper,a new simplex unscented transform（UT）based Schmidt orthogonal algorithm and a new filter method based on this transform are proposed.This filter has less computation consumption than UKF（unscented Kal...In this paper,a new simplex unscented transform（UT）based Schmidt orthogonal algorithm and a new filter method based on this transform are proposed.This filter has less computation consumption than UKF（unscented Kalman filter）,SUKF（simplex unscented Kalman filter）and EKF（extended Kalman filter）.Computer simulation shows that this filter has the same performance as UKF and SUKF,and according to the analysis of the computational requirements of EKF,UKF and SUKF,this filter has preferable practicality value.Finally,the appendix shows the efficiency for this UT.展开更多
基金supported by the National Nature Science Foundation of China Grant No. 60372022Program for New Century Excellent Talents in University under Grant No. NCET-05-0806
文摘Most existing two dimensional（2-D）angles of arrival（AOAs）estimation methods are based on the assumption that the signal sources are point sources.However,in mobile communications,local scattering in the vicinity of the mobile results in angular spreading as seen from a base station antenna array.In this paper,we consider the problem of estimating the 2-D AOAs of spatially distributed sources.First we perform blind estimation of the steering vectors by exploiting joint diagonalization,then the 2-D AOAs are obtained through two fast Fourier transforming of the estimated steering vectors.Simulations are carried out to illustrate the performance of the method.
基金supported by the National Natural Science Foundation of China under Grant No. 60372022Program for New Century Excellent Talentsin University under Grant No. NCET-05-0806
文摘Signal-to-noise ratio（SNR）estimation for signal which can be modeled by Auto-regressive（AR）process is studied in this paper.First,the conventional frequency domain method is introduced to estimate the SNR for the received signal in additive white Gauss noise（AWGN）channel.Then a parametric SNR estimation algorithm is proposed by taking advantage of the AR model information of the received signal.The simulation results show that the proposed parametric method has better performance than the conventional frequency doma in method in case of AWGN channel.
基金supported by the Program for New Century Excellent Talents in University,Ministry of Education,China under Grant No. NCET-05-0803
文摘In this paper,a new simplex unscented transform（UT）based Schmidt orthogonal algorithm and a new filter method based on this transform are proposed.This filter has less computation consumption than UKF（unscented Kalman filter）,SUKF（simplex unscented Kalman filter）and EKF（extended Kalman filter）.Computer simulation shows that this filter has the same performance as UKF and SUKF,and according to the analysis of the computational requirements of EKF,UKF and SUKF,this filter has preferable practicality value.Finally,the appendix shows the efficiency for this UT.
