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首页> 外文期刊>Circuits, systems, and signal processing >Angle Estimation and Self-calibration Method for Bistatic MIMO Radar with Transmit and Receive Array Errors
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Angle Estimation and Self-calibration Method for Bistatic MIMO Radar with Transmit and Receive Array Errors

机译：具有发射和接收阵列误差的双基地MIMO雷达的角度估计和自校准方法

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摘要

The mutual coupling, gain-phase error and sensor position error of the transmit and receive arrays would significantly degrade the performance of high-resolution direction of departure and direction of arrival estimation algorithms. By applying two well-calibrated instrumental sensors in both transmit and receive arrays, a novel angle estimation and self-calibration method, which considers the combined influences of the above three array errors, is proposed for bistatic MIMO radar. We show that the integrated array errors can be translated to angularly dependent gain-phase error. Then, a reduced dimensional method is used to estimate the angles and the angularly dependent gain-phase error coefficients. Based on the estimated angularly dependent gain-phase error coefficients, the nonlinear least squares optimization model for the three array errors are established and a quasi-Newton optimization method is applied to estimate the mutual coupling matrix, gain-phase error and sensors position errors of the transmit and receive arrays, respectively. Our simulation results corroborate our analysis.
机译：发送和接收阵列的相互耦合，增益相位误差和传感器位置误差将显着降低高分辨率的出发方向和到达方向估计算法的性能。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，针对双基地MIMO雷达，提出了一种考虑上述三个阵列误差的综合影响的角度估计和自校准方法。我们表明，积分阵列误差可以转化为与角度相关的增益相位误差。然后，使用降维方法来估计角度和与角度相关的增益相位误差系数。基于估计的与角度相关的增益相位误差系数，建立了三个阵列误差的非线性最小二乘优化模型，并应用准牛顿优化方法估计了互感矩阵，增益相位误差和传感器的位置误差。分别发送和接收数组。我们的仿真结果证实了我们的分析。

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