针对半球共形阵体制下进行低空风切变检测时会受到强地杂波信号的干扰,导致风切变信号难以检测的问题,提出了一种基于空时自回归的直接数据域算法(Space-Time Autoregressive Direct Data Domain,D3AR)的低空风切变风速估计方法.该方法首先将待检测距离单元的数据从空域、时域以及空时域进行信号对消处理;然后将处理后的数据矩阵描述为空时自回归(Autoregression,AR)模型并估计模型参数;再通过构造与杂波子空间正交的空间来实现对杂波的抑制,最后通过提取待检测单元的最大多普勒频率来估计风场速度.根据仿真结果显示,该方法有效地实现了地杂波抑制,并且能够精确估计风速.
A Wind Speed Estimation Method for Low-Altitude Wind Shear Based on D3 AR Hemispherical Conformal Array
Aiming at the problem that the low-altitude wind shear detection under the hemispherical conformal ar-ray system will be interfered by the strong ground clutter signal,which makes the wind shear signal difficult to detect.A wind speed estimation method for low-altitude wind shear based on space-time autoregressive direct data domain(D3AR)algorithm is proposed.In this method,firstly,the data of the range cell to be detected are made signal cancella-tion processing in the spatial,temporal and space-time domains.Then,the processed data matrix is described as a space-time autoregression(AR)model and the model parameters are estimated.Next,the clutter is suppressed by constructing a space orthogonal to the clutter subspace.Finally,the wind speed is estimated by extracting the maximum Doppler fre-quency of the cell to be detected.According to the simulation results,the proposed method can effectively suppress the ground clutter and accurately estimate the wind speed.
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