低快拍下MIMO雷达收发角度联合估计方法

发布时间：2018-04-19 05:28

本文选题：MIMO雷达 + 双基地　；参考：《哈尔滨工程大学学报》2014年09期

【摘要】：在多输入多输出(MIMO)雷达中,基于二阶统计特性的子空间角度算法在低快拍条件下的估计性能急骤下降,甚至在单快拍时失效。针对该问题,提出一种扩展阵列孔径的二维联合空间平滑多目标波离方向(DOD)和波达方向(DOA)估计方法。该算法对MIMO雷达的发射端和接收端进行二维联合空间平滑,并利用MIMO雷达虚拟阵列的旋转不变特性对阵列孔径进行扩展,然后根据ESPRIT算法获得目标的DOD和DOA,且DOD和DOA自动配对。与基于二阶统计特性的子空间算法相比,且所提算法在低快拍条件下具有更加优越的角度估计性能,因所提算法能够适用于单快拍条件。仿真结果表明了所提方法的有效性和优越性。
[Abstract]:In multi-input multi-output (Mimo) radar, the estimation performance of the subspace angle algorithm based on second-order statistical characteristics in the case of low shot is rapidly degraded, and even fails in the case of single shot.To solve this problem, a two-dimensional joint spatial smoothing DOD (DOD) and DOA (DOA) estimation method with extended array aperture are proposed.The algorithm smoothes the joint space between the transmitter and receiver of MIMO radar, and extends the aperture of MIMO radar virtual array by using the rotation invariant property of the virtual array. Then, according to the ESPRIT algorithm, the DOD and load of the target are obtained, and the DOD and DOA are matched automatically.Compared with the subspace algorithm based on the second-order statistical property, the proposed algorithm has better angle estimation performance under the condition of low racket, because the proposed algorithm can be applied to the single-beat condition.Simulation results show the effectiveness and superiority of the proposed method.
【作者单位】：哈尔滨工程大学自动化学院;
【基金】：新世纪优秀人才支持计划基金资助项目(NCET-11-0287) 中央高校基本业务费专项基金资助项目(HEUCFX41308) 中国博士后科学基金资助项目(2014M550182) 黑龙江省博士后特别资助项目(LBH-TZ0410) 哈尔滨市科技创新人才资助项目(2013RFXXJ016)
【分类号】：TN958

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