首先利用多维逆m序列作为激励输入信号，用实验法建立出空气传送部分的多变量离散状态空间模型。
Firstly, the paper models the multivariable discrete state-space model of the air transmission unit by the lab method, using multi-dimensional inverse m series as input stimulus signal.
由于采集部分K空间数据成像是对连续频率MR信号的截断，导致经过傅立叶变换后的重建图像中出现截断伪影。
Sampling segmented K-space data makes a truncation of MR signal which is with continuous frequencies, leads to the truncation artifact in the reconstruction images after Fourier transform.
信号子空间中包含目标边界特征，将参数向量中非直流部分投影到信号子空间，得到场景内目标细节信息，然后据此估计场景各点的雷达反射截面（RCS）。
The variable part of the parameter vector is projected onto the signal subspace to identify intrinsic structural features of the scene and estimate the RCS.
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