Analysis of Moving Object Imaging from Compressively Sensed SAR Data in the Presence of Dictionary Mismatch

Table 1

Comparison of existing references.

References	SAR moving target	Prior	Dictionary mismatch	Remarks
[6]	No	GBP	Yes	Superior performance of GBP over LP is shown by simulations
[13, 14]	No	LP	No	Apply CS for through-the-wall imaging
[15]	No	LP	Yes	Apply CS for through-the-wall imaging. Performance degradation due to pixel mismatch and wave propagation velocity shown by simulations
[16–18]	No	LP	No	Apply CS for tomographic SAR imaging
[19]	No	LP	No	Apply CS for focusing of static scenes
[7]	No	GBP	Yes	Fast implementation of GBP reconstruction shows superior performance by simulations
[21]	No	LP	No	Suggest clutter cancelation to enhance sparsity of a scene containing moving targets
[22]	Yes	LP	No	Apply CS for motion estimation
[23]	Yes	LP	Yes	Apply CS for motion estimation, performance degradation due to range velocity mismatch shown by simulations
[24]	Yes	LP	No	Apply distributed CS for motion estimation
[25]	Yes	LP	Yes	Apply CS for motion estimation; simulations show no performance degradation due to velocity mismatch
[26, 27]	No	LP	Yes	Performance degradation due to dictionary mismatch shown by simulations and theory