低快拍下基于RBF的CSB sin-FDA稳健波束形成

针对抑制与目标位置接近的平台外随队干扰的过程中,MVDR波束形成器在阵元数较大、快拍数不足时的主瓣畸变问题展开分析。以CSB sin-FDA接收阵列结构代替ULA-FDA接收阵列。快拍数不足时,将修正后的协方差矩阵导入模糊RBF神经网络计算最优权矢量,避免了矩阵求逆运算。与基于PA及FDA-BFF的MVDR波束形成器相比,在低快拍情况下,该方法在干扰位置处形成有效零陷的同时,主瓣指向能够保持在目标位置。且方向图仅在目标位置处形成单一主瓣峰值,这也为后续关于目标参数估计的一系列分析中的模糊消除奠定了重要基础。数值仿真验证了该方法的有效性。

RBF-based CSB sin-FDA robust beamforming with insufficient snapshot

In the process of suppressing the interference outside the platform which is close to the target position,the main lobe distortion of MVDR beamformer was analyzed when the number of array elements is large and the number of fast shots is insufficient.The CSB sin-FDA receiving array structure was used to replace the ULA-FDA receiving array.When the number of snapshots is insufficient,the modified covariance matrix was introduced into the fuzzy RBF neural network to calculate the optimal weight vector,which avoids the matrix inversion operation.Compared with the MVDR beamformer based on PA and FDA-BFF,in the case of low snapshot,the main lobe pointing can be kept in the target position while the effective zero notch is formed at the interference position.And the pattern only forms a single main lobe peak at the target position,which lays an important foundation for fuzzy elimination in a series of subsequent analysis of target parameter estimation.Numerical simulation verified the effectiveness of the proposed method.