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A method of Micro-Doppler component separation based on parametric sparse time-frequency representation is proposed in this paper. The received signal is decomposed into a family of parametric basis signals that are dependent of the target angular velocity, and the significant coefficients of the sparse solution indicate the initial phases and the Doppler amplitudes of Micro-Doppler components. The...
Degeneration of inverse synthetic aperture radar (ISAR) image quality may be caused by rotational motion induced quadratic phase error (QPE). Traditional algorithms can't correct the QPE well with smaller number of pulses. In this paper, the Parametric Compressed Sensing Least Square (PCS-LS) is proposed to compensate the QPE on each range bin and to reconstruct the image robustly. Mig-25 data is...
The ISAR imaging problem can be converted to a sparse recovery problem and efficiently solved by a weighted L1 minimization algorithm, which outperforms the regular L1 minimization substantially, provided the sparse representation is already known. However, the sparse representation of the ISAR signal is related to the target rotation rate, which is usually unknown for noncooperative target. In this...
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