双基地MIMO雷达多参数联合估计及目标三维定位

发布时间：2018-07-10 00:15

本文选题：双基地MIMO雷达 + 均匀圆阵　；参考：《南京大学学报(自然科学)》2017年03期

【摘要】：多输入多输出(Multiple-input multiple-output,MIMO)雷达具有波形分集、空间分集和极化分集等优势,在抗目标"闪烁"、反干扰、提高分辨力方面有很大的潜力.提出了一种双基地MIMO雷达多参数联合估计及目标三维定位方法.对接收信号的协方差矩阵作特征值分解,提取大特征值对应的特征矢量,构建选择矩阵,基于ESPRIT算法估计出目标的波达角.在求解均匀圆阵时,为将导向矢量中耦合的俯仰角和方位角分开,采用模式激励法解耦合,再分别利用UCA-MUSIC和UCA-ESPRIT算法估计目标俯仰角和波达角.基于MIMO雷达空间结构,利用估计到目标的俯仰角、发射角和波达角,计算得到目标的三维空间坐标信息.该算法可实现角度间的自动配对,可以有效识别同一距离单元内的多个目标.仿真实验表明,提出的估计方法估计精度高,处理速度快.
[Abstract]:Multiple-input multiple-output MIMO (MIMO) radar has many advantages, such as waveform diversity, spatial diversity and polarization diversity. It has great potential in anti-target "flicker", anti-jamming and improving resolution. A multiparameter joint estimation and 3D target location method for bistatic MIMO radar is proposed. The eigenvalue decomposition of the covariance matrix of the received signal is performed, the eigenvector corresponding to the large eigenvalue is extracted, the selection matrix is constructed, and the DOA of the target is estimated based on the Esprit algorithm. In order to separate the pitch angle and azimuth angle of the coupling in the guidance vector, the mode excitation method is used to solve the uniform circular array, and then UCA-MUSIC and UCA-ESPRIT algorithms are used to estimate the pitch angle and the angle of arrival of the target, respectively. Based on MIMO radar spatial structure, the three-dimensional coordinate information of the target is calculated by using the estimated pitch angle, the transmitting angle and the arrival angle of the target. The algorithm can realize automatic pairing between angles and can effectively identify multiple targets in the same distance unit. Simulation results show that the proposed estimation method has high estimation accuracy and fast processing speed.
【作者单位】：南京大学电子科学与工程学院;安徽师范大学物理与电子信息学院;
【基金】：毫米波国家重点实验室开放课题(K201514) 江苏省普通高校研究生科研创新计划(KYZZ16_0053)
【分类号】：TN958

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