Performance Analysis of SCA Algorithm in Comparison with DSA Algorithm
Analytical details of adapting spatial correlation algorithm (SCA) to coherent nature of microwave imaging, which was originally designed to work in an incoherent target scenario, are provided.
Abstract
This paper provides analytical details of adapting spatial correlation algorithm (SCA) to coherent nature of microwave imaging, which was originally designed to work in an incoherent target scenario. This is accomplished via subarray processing that enables the conversion of coherent target scenario from near field to far field, such that it resembles incoherent target nature. The criteria for subarray size is presented and it is incorporated in implementing the SCA. In order to compare the performance of SCA with that of dominant scatterer algorithm (DSA), two cases of adaptive beamforming (ABF) sources are utilized. For each case, two algorithms are compared in terms of reconstructed image quality such as peak sidelobe level, rms phase error, maximum amplitude, and lower bound of image correlation coefficient.