The existing directions-of-arrival （DOAs） estimation methods for two-dimensional （2D） coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In add...The existing directions-of-arrival （DOAs） estimation methods for two-dimensional （2D） coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As a result, their performances will degenerate when deal with different sources with different angular signal distribution functions or unknown angular signal distribution functions. In this paper, a low-complexity decoupled DOAs estimation method without searching using two parallel uniform linear arrays （ULAs） is proposed for coherently distributed sources, as well as a novel parameter matching method. It can resolve the problems mentioned above efficiently. Simulation results validate the effectiveness of our approach.展开更多
在相干信源下,传统的MUSIC(MUltiple SIgnal Classification)算法不能准确地估计波达方向。为此,在对传统的MUSIC算法进行研究的基础上,提出了一种改进的MUSIC算法。该算法是将阵元接收的数据做相应的变换,从而得到新的阵列数据,再通过...在相干信源下,传统的MUSIC(MUltiple SIgnal Classification)算法不能准确地估计波达方向。为此,在对传统的MUSIC算法进行研究的基础上,提出了一种改进的MUSIC算法。该算法是将阵元接收的数据做相应的变换,从而得到新的阵列数据,再通过求互协方差等运算,得到新的数据协方差矩阵。同时,对该算法和传统的MUSIC算法进行了仿真,对其DOA(Direction-of-Arrival)估计性能进行比较。仿真实验表明,改进后的算法在相干信源的情况下具有很好的去相干性能,而且没有阵列孔径的损失。能精确地估计信号的波达方向。展开更多
The existing direction-of-arrival(DOA)estimation methods only utilize the current received signals,which are susceptible to noise.In this paper,a method for DOA estimation based on a motion platform is proposed to ach...The existing direction-of-arrival(DOA)estimation methods only utilize the current received signals,which are susceptible to noise.In this paper,a method for DOA estimation based on a motion platform is proposed to achieve high-precision DOA estimation by utilizing past and present signals.The concept of synthetic aperture is introduced to construct a linear DOA estima-tion model.A DOA fine-tuning method based on the linear model is proposed to eliminate the lin-ear DOA variation,achieving a non-coherent accumulation of DOA estimations.Moreover,the baseband modulation and the phase modulation caused by the range history are compensated to achieve the coherent accumulation of all the DOA estimations.Simulation results show that the proposed method can significantly improve the DOA estimated accuracy at low signal-to-noise ratios(SNR).展开更多
基金Supported by the National Natural Science Foundation of China (Grant No. 60772146)the Program for New Century Excellent Talents in University (Grant No. NCET-05-0806)
文摘The existing directions-of-arrival （DOAs） estimation methods for two-dimensional （2D） coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As a result, their performances will degenerate when deal with different sources with different angular signal distribution functions or unknown angular signal distribution functions. In this paper, a low-complexity decoupled DOAs estimation method without searching using two parallel uniform linear arrays （ULAs） is proposed for coherently distributed sources, as well as a novel parameter matching method. It can resolve the problems mentioned above efficiently. Simulation results validate the effectiveness of our approach.
文摘在相干信源下,传统的MUSIC(MUltiple SIgnal Classification)算法不能准确地估计波达方向。为此,在对传统的MUSIC算法进行研究的基础上,提出了一种改进的MUSIC算法。该算法是将阵元接收的数据做相应的变换,从而得到新的阵列数据,再通过求互协方差等运算,得到新的数据协方差矩阵。同时,对该算法和传统的MUSIC算法进行了仿真,对其DOA(Direction-of-Arrival)估计性能进行比较。仿真实验表明,改进后的算法在相干信源的情况下具有很好的去相干性能,而且没有阵列孔径的损失。能精确地估计信号的波达方向。
基金supported in part by the National Science Fund for Excel-lent Young Scholars(No.62222113)in part by the joint Funds of the National Natural Science Foundation of China(No.U22B2015)+1 种基金in part by the stabilization support of National Radar Signal Processing Laboratory(No.KGJ202203)in part by the Fundamental Research Funds for the Central Universities(No.ZDRC2004).
文摘The existing direction-of-arrival(DOA)estimation methods only utilize the current received signals,which are susceptible to noise.In this paper,a method for DOA estimation based on a motion platform is proposed to achieve high-precision DOA estimation by utilizing past and present signals.The concept of synthetic aperture is introduced to construct a linear DOA estima-tion model.A DOA fine-tuning method based on the linear model is proposed to eliminate the lin-ear DOA variation,achieving a non-coherent accumulation of DOA estimations.Moreover,the baseband modulation and the phase modulation caused by the range history are compensated to achieve the coherent accumulation of all the DOA estimations.Simulation results show that the proposed method can significantly improve the DOA estimated accuracy at low signal-to-noise ratios(SNR).
