针对非线性系统误差对太赫兹雷达成像质量的影响，提出一种最小熵系统误差校正算法。在实测的太赫兹逆合成孔径雷达成像实验中，非线性误差会对回波相位产生影响，从而使得脉压后的距离像能量分散，进而降低成像质量。经过对误差形式的理论分析，建立一维距离像的相位误差补偿模型，并基于最小熵的优化准则迭代校正此系统误差。实验结果表明，与基于参考点目标的方法相比，所提方法自适应性更强，且具有更好的校正效果。

To deal with the effect of the nonlinear system error on the terahertz radar imaging, a system error correction algorithm based on minimum entropy is proposed. In the real terahertz inverse synthetic aperture radar imaging experiments, the intrinsic system error influences the echo phase and disperses the range profile, which will lead to the image degradation. After theoretical analysis of the error formulation, the phase error compensation model for 1D range profile is established. It is found that this error can be skillfully removed by the minimum entropy metric. Experimental results show a higher efficiency and better adaptability of the proposed method compared to that based on the reference reflection.