DPCA Imaging from Nonuniform Sampling: an Lq Regularization Based Approach

Inhalt:
The displaced phase center antenna (DPCA) technique is a classical method for achieving high-resolution wide-swath synthetic aperture radar (SAR) imaging. For optimum performance, the pulse repetition frequency (PRF) of DPCA systems needs to satisfy the azimuth uniform sampling condition as far as possible. However, this rigid PRF selection may conflict with the timing diagram for some incident angles. According to the sparse signal processing theory, this paper derives a novel DPCA imaging algorithm for nonuniform displaced phase center (DPC) sampling. By introducing the DPCA data processing operator (DDPOp) based on filter bank into the Lq regularization scheme, the algorithm can efficiently recover the backscattering coefficients of the observed scene. The experimental results have shown that it is capable of resolving ambiguity and suppressing clutter effectively, and is meanwhile robust to additive noise.