近场源幅相及阵元位置误差的校正算法

Calibration algorithm for gain-phase and sensors positioning errors of near-field source

针对近场源条件下幅相及阵元位置误差校正问题,提出一种基于辅助阵元矢量重构解耦合的阵元位置误差及幅相误差校正方法.该方法利用多个相互独立且位于不同位置的近场信号源分时工作对幅相及阵元位置误差进行校正;同时,在单近场源作用下,通过构造虚拟阵列、对重构阵列导向矢量的变换以及对原始均匀对称阵列导向矢量的变换,实现了对近场源的方位角、距离以及幅相和阵元位置误差的级联估计.最后利用多个信号源的估计值对幅相及阵元位置误差进行校正.仿真结果表明,该算法运算量小,方位及距离参数估计精确,误差校正精度高.

In order to solve the problem of gain-phase and sensors positioning errors calibration of near-field source, this paper proposes a calibration method of gain-phase errors and sensors positioning errors based on decoupling of instrumental sensors vector reconstruction. The proposed method uses multiple independent near-field sources at different positions to calibrate gain-phase and sensors positioning errors at different times. At the same time, under the action of single near-field source, the cascade estimation of the azimuth, distance, gain-phase and sensors positioning errors of the near-field source is achieved by constructing the virtual array, transforming the steering vector of the reconstructed virtual array, and transforming the steering vector of the uniform symmetric real array. Finally, the gain-phase and sensors positioning errors are calibrated by using the estimated values of multiple signal sources. The simulation results show that the proposed algorithm has the advantages of small computation, accurate estimation of bearing and distance parameters and high accuracy of error correction.