电磁矢量传感器能够获取信号幅度、相位、频率和波形等信息外，另一个可资利用的极化信息，再加上其天线的矢量布阵方式，使其在高速弹载空间受限雷达的应用较常规标量阵列雷达具有巨大的优势。另外，分离式电磁矢量传感器因其具有低互耦、硬件实现简单、孔径扩展等特性而备受关注。而波达方向估计是弹载雷达的基本任务之一，多目标高分辨、高精度角度估计能为导引头提供精确制导信息。故本项目就弹载分离式电磁矢量传感器阵列的超分辨技术展开信号处理的新理论和新方法研究。针对弹载雷达体积小、速度高、空气气动性要求严格等特点，利用多输入多输出（MIMO）模式来扩展阵列的有效孔径、多元数来恢复矢量信号内部的非线性多维结构，研究具有大孔径、低耦合的分离式电磁矢量传感器阵列优化设计和空间相移因子补偿或利用的多目标角度超分辨算法及其在阵列非理想因素下的稳健信号处理方式，为导弹的下一代精确制导技术提供理论支持。

Electromagnetic vector-sensor (EMVS) can obtain the useful polarization information of signal besides the amplitude, phase, frequency and waveform. Moreover, the sensor is arranged in vector-form. Therefore, it has many more advantages than the conventional scalar array in missile-borne radar with limited space. In addition, many researchers focus on spread EMVS because of the advantages of low mutual coupling, considerable hardware cost and extended spatial aperture. Direction of arrival (DOA) estimation is one of the main tasks of missile-borne radar. High resolution and accuracy DOA estimation of multi-targets can provide the precise guidance information for seeker. Therefore, this project researches on the new theories and methods of angular super-resolution for missile-borne spread EMVS. For the characteristics of missile-borne radar with small volume, high speech and strict demand of aerodynamics, we use the multiple input multiple output (MIMO) to extend the spatial aperture, multi-nion to restore the nonlinear and multidimensional structure of vector-signal. We then research on the optimization design with large aperture and low mutual coupling spread EMVS array radar, the angular super-resolution algorithms to make use of or compensation of “spatial phase shift factors”, and also the robust signal process under the imperfect array scenario. These results will offer the theoretical support for the next generation technology of precise guidance.