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DOD and DOA estimation in bistatic MIMO radar for nested and coprime array with closed-form DOF

机译:闭式自由度嵌套和互质阵列的双基地MIMO雷达中的DOD和DOA估计

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摘要

It is well known that sparse array can offer better angle resolution than that of uniform linear array (ULA) in the same number of physical sensors. But in bistatic minimum redundancy sparse array multi-input multi-output (MIMO) radar, it cannot offer closed-form degree of freedom (DOF) for the arbitrary number of sensors with direction of departure and direction of arrival estimation. Therefore, this article introduces a nested array and coprime array into sparse array to solve the problem. First, construct no holes difference-coarray by extracting specified covariance matrix elements. Then, transform the difference-coarray into ULA within bistatic MIMO radar through some mathematical operations. As a result, many angle estimation methods for traditional ULA can be applied to the sparse bistatic MIMO array radar. The proposed algorithm offers closed-form DOFs for sparse array and the array aperture is much larger than that of ULA with identical number of sensors. The usefulness of the proposed methods is verified through computer simulations.
机译:众所周知,在相同数量的物理传感器中,稀疏阵列可以提供比均匀线性阵列(ULA)更好的角度分辨率。但是在双基地最小冗余稀疏阵列多输入多输出(MIMO)雷达中,它无法为任意数量的具有偏离方向和到达方向估计的传感器提供闭合形式的自由度(DOF)。因此,本文将嵌套数组和共质数数组引入稀疏数组以解决该问题。首先,通过提取指定的协方差矩阵元素构造无孔差-协数组。然后,通过一些数学运算,将差分共阵列转换为双基地MIMO雷达内的ULA。结果,可以将许多用于传统ULA的角度估计方法应用于稀疏双基地MIMO阵列雷达。所提出的算法为稀疏阵列提供了封闭形式的自由度,并且阵列孔径比具有相同数量传感器的ULA大得多。通过计算机仿真验证了所提出方法的有效性。

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