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Joint DOD and DOA estimation for bistatic MIMO radar with combined array errors

机译:联合阵列误差的双基地MIMO雷达联合DOD和DOA估计

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The existing direction of departure (DOD) and direction of arrival (DOA) estimation algorithms suffer from sensitivity to the mutual coupling, gain-phase errors and sensors position errors of the transmit and receive array for bistatic MIMO radar. By applying two well-calibrated instrumental sensors in both transmit and receive arrays, a novel angle estimation algorithm, with the combined influences of the above three array errors for bistatic MIMO radar, is proposed without the knowledge of the combined array errors. We show that the combined array errors can be translated to angularly dependent gain and phase errors. Then a reduced dimensional method is used to estimate the angles. The proposed algorithm can “decouple” the DOD, DOA and combined array errors parameters, so it does not refer high-dimensional nonlinear search but only one-dimensional search. Our simulation results corroborate our analysis.
机译:现有的出发方向(DOD)和到达方向(DOA)估计算法的缺点是对双基地MIMO雷达的发射和接收阵列的相互耦合,增益相位误差和传感器位置误差敏感。通过在发射和接收阵列中应用两个经过良好校准的仪器传感器,提出了一种新颖的角度估计算法,该方法结合了上述三个阵列误差对双基地MIMO雷达的影响,而无需了解组合的阵列误差。我们证明了组合的阵列误差可以转化为与角度相关的增益和相位误差。然后使用降维方法估计角度。提出的算法可以“解耦” DOD,DOA和组合的阵列误差参数,因此它不涉及高维非线性搜索,而仅涉及一维搜索。我们的仿真结果证实了我们的分析。

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