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Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar

机译:用于双基地MIMO雷达DOD和DOA联合估计的统一双分辨率ESPRIT

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This paper investigates the problem of joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO radar. A new bistatic MIMO array, both the transmit array and the receive array consist of two separated subarrays with dual baselines is proposed, in contrast to the modeling of both the transmit array and the receive array to be uniform linear array in the existing research literature. And a new joint DOD and DOA estimation algorithm, called unitary dual-resolution ESPRIT, is proposed. First, the short baseline rotational invariance within subarray yields non-ambiguous coarse DOD and DOA estimation. Then the long baseline rotational invariance between subarray yields high accuracy but cyclically ambiguous DOD and DOA estimation. Last, the combination of both estimates yield high accuracy and non-ambiguous DOD and DOA estimation. Moreover, we propose to utilize the properties of centro-Hermitian matrices to transform the complex-valued computations into real-valued computations throughout the whole process. The proposed algorithm gives significant improvement in DOD and DOA estimation performance, with automatic pairing and without extra antennas and computational complexity compared with the conventional algorithms. Simulation results verify the effectiveness of the proposed algorithm.
机译:本文研究了双基地MIMO雷达的联合出发方向(DOD)和到达方向(DOA)估计问题。与现有研究文献中将发射阵列和接收阵列都建模为均匀线性阵列相反,提出了一种新的双基地MIMO阵列,发射阵列和接收阵列均由具有双基线的两个分离的子阵列组成。提出了一种新的联合DOD和DOA估计算法,称为unit双分辨率ESPRIT。首先,子阵列内的短基线旋转不变性产生了无歧义的粗DOD和DOA估计。然后,子阵列之间较长的基线旋转不变性会产生较高的精度,但会产生周期性的歧义DOD和DOA估计。最后,这两种估计的组合产生了高精度,并且DOD和DOA估计无歧义。此外,我们建议在整个过程中利用中心Hermitian矩阵的特性将复值计算转换为实值计算。与传统算法相比,该算法在自动配对且无额外天线和计算复杂性的情况下,极大地提高了DOD和DOA估计性能。仿真结果验证了该算法的有效性。

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