| 摘要: |
| 针对有源幅相误差校正方法需要已知校正源位置，以及迭代自校正方法依赖初值选取等问题，提出了一种信号源位置未知条件下机载天线阵列幅相误差的自校正方法。所提方法利用机载阵列随机载平台运动过程中的多次观测数据，通过挖掘多组观测数据的特征空间结构，将外辐射源位置和阵列的幅相响应进行分步估计。所提算法在幅相响应的估计过程中，也完成了对辐射源的定位。同时，所提方法对机载平台运动轨迹、阵列具体几何形式均未做特定限制。仿真实验结果表明，当信噪比大于5 dB时,所提算法对阵列幅度误差的估计误差小于0.5 dB，对阵列相位误差的估计误差小于2°，验证了所提算法的有效性。 |
| 关键词: 机载相控阵 无源定位 特征分解 幅相误差 自校正 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目（61634004，61602377）；陕西省科技统筹创新工程项目（2016KTZDGY02-04-02）；陕西省重点研发计划（2017GY-060） |
|
| A self-calibration method for gain-phase errors of airborne antenna array using multiple measurements |
| HUANG Xiuqiong,HAO Kegang,LU Mingdi,FAN Rong,WAN Qun |
| () |
| Abstract: |
| The problem of self-calibration for sensor gain-phase errors of airborne antenna array is addressed. The proposed method uses the measurements collected from an airborne antenna array during the movement of airborne platform. Eigen-structure of the measurements is analyzed,based on which,the location of the source and the sensor gains/phases are estimated in sequence. The proposed method is a non-iterative technique and applies to the scenario that the position of source is unknown. Meanwhile,the proposed method has no constraint on the trajectory of airborne platform and the geometry configuration of array. Numerical simulations show that the estimations of gain and phase are less than 0.5 dB and 2 degrees respectively when the signal-to-noise ratio(SNR) is bigger than 5 dB,which verifies the effectiveness of the proposed method. |
| Key words: airborne phased array passive localization eigen decomposition gain-phase errors self-calibration |
