GMTI on short sequences of pulses with compressed sensing

Fast, Efficient, and Viable Compressed Sensing, Low-Rank, and Robust Principle Component Analysis Algorithms for Radar Signal Processing

“…The compressive sensing (CS), affine rank minimization (ARM), and compressed robust principal component analysis (CRPCA) methods are enjoying great popularity in terms of their application in modern radar signal processing. At present, they are being applied in almost every possible field of application ranging from basic radar signal processing [1][2][3][4] to more sophisticated applications such as multiple-input multiple-output (MIMO) radar [5,6], ground moving target indication (GMTI) [7][8][9][10][11], synthetic aperture radar (SAR) [12][13][14], inverse synthetic aperture radar (ISAR) [15][16][17][18], interference and clutter mitigation [19][20][21][22], or SAR-GMTI [23][24][25], imaging [26], and passive radar [27], to name a few-this list is far from being exhaustive. Many more examples of CS applied to radar signal processing can be found e.g., in [28].…”