二维子阵级相控阵空间谱估计方法

目前已提出的空间谱估计方法绝大多数需要已知所有阵元的数字化输出信号,即为基于阵元级的方法.我们对应用于相控阵雷达的二维子阵级空间谱估计方法进行了研究.采用简化的阵列流形,只需精确地确定子阵相位中心与增益,大大降低了对相控阵的校正成本与代价.但其有效的方向估计范围只在子阵的3dB波束宽度内,然而与波束扫描相结合可实现任意空间范围内的方向估计.通过引入加权网络对子阵输出进行后处理,提高了阵列处理的灵活性;构造了基于理想子阵方向图的简化阵列流形,克服了直接简化阵列流形方法的测向范围无法调整的局限性,并能更好地抑制旁瓣源.仿真结果证实了所提出方法的有效性.

2-D Spatial Spectrum Estimation Methods at Subarray Level for Phased Array

Most of present spatial spectrum estimation methods is only suitable for the situation that the digital output of all array elements must be known,namely the methods based on element level.2-D spatial spectrum estimation methods at subarray level applied to phased array radar are studied.Applying the method based on simplified array manifold only needs to determine the phase center and gain of each subarray accurately and thus can reduce array calibration cost and expense greatly.However the available direction estimation region is only within the 3dB beam width of subarrays,in order to estimate at any interested direction one can combine this method with beam scanning.Post-processing the subarray outputs by introducing weighting network makes the array processing more flexible.The method based on simplified array manifold with the ideal subarray patterns is constructed which can overcome the limitation of the one based on direct simplified array manifold that the available region of direction estimation can't be adjusted and suppress sidelobe sources better.Simulation results demonstrate the validity of the proposed methods.