合成孔径雷达运动目标谱图二维压缩与重构方法

在完成合成孔径雷达(SAR)双通道回波数据对消处理的基础上,提出一种基于压缩感知的运动目标谱图二维压缩与重构方法。通过构造二维观测矩阵对SAR谱图在距离和慢时间方向上分别进行压缩,接收端设计二维正交匹配追踪法来重构原始谱图信息,进一步得到目标高分辨二维像。该方法可大幅降低SAR运动目标谱图数据量,并在稀疏度估计值不小于应有稀疏度值且两者比较接近的条件下,准确重构出原始谱图信息,同时得到高质量的运动目标二维像。仿真验证了方法的有效性。

Two dimensional SAR moving target spectrogram compressing and reconstructing method

After cancellation processing of echoed data from two channels of SAR,a novel method based on compressed sensing is proposed,which implements two dimensional compressing and reconstructing for moving target spectrogram in SAR imaging.The two dimensional measurement matrixes are established to compress spectrogram data both in range and slow time.Then the two dimensional orthogonal matching pursuit(OMP) algorithm is designed in receiving port,which can reconstruct original spectrogram information to acquire the high resolution image of moving target.Firstly,the spectrogram data of SAR imaging for moving target can be reduced apparently by using the method;secondly,the primitive spectrogram information can be exactly reconstructed on the condition that the estimated sparsity degree is no less than and close to the supposed one,the high quality image of moving target can be achieved meanwhile.The effectiveness of the method is validated by the simulation results.