Ruan Feng, Han Liang, Zhang Baoheng, Li Yachao, Guo Liang
School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China.
National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.
Sensors (Basel). 2022 Jul 26;22(15):5563. doi: 10.3390/s22155563.
A phase error correction method is proposed to compensate for the phase error in super-resolution correlated imaging based on metamaterial antennas. The varying carrier frequencies of a metamaterial antenna can generate the random radiation field for super-resolution correlation imaging, but the variation of the signal carrier frequency leads to large phase errors in the imaging results. In this proposed method, the sampling matrix in the super-resolution correlated imaging algorithm is used to compensate for the phase errors. Each element of the matrix is multiplied by a compensation phase corresponding to the phase error, and the error is subtly removed from the algorithm. In the experiment, the antenna pattern at each frequency of the metamaterial antenna is measured and recorded. In addition, an external field experiment is also carried out, and the collected data are imaged with the improved algorithm. Experimental results show that this technology can effectively solve the effect of phase errors on imaging results caused by signal carrier frequency changes.
提出了一种相位误差校正方法,以补偿基于超材料天线的超分辨率相关成像中的相位误差。超材料天线变化的载波频率可以为超分辨率相关成像生成随机辐射场,但信号载波频率的变化会导致成像结果中出现较大的相位误差。在该方法中,超分辨率相关成像算法中的采样矩阵用于补偿相位误差。矩阵的每个元素乘以与相位误差对应的补偿相位,从而巧妙地从算法中消除误差。在实验中,测量并记录了超材料天线每个频率下的天线方向图。此外,还进行了外场实验,并用改进后的算法对采集的数据进行成像。实验结果表明,该技术能有效解决信号载波频率变化引起的相位误差对成像结果的影响。