Application of PR cosine-modulated filter bank to multichannel superresolution radar imaging

In this paper, we present a multichannel superresolution radar imaging (MSRI) approach. Our approach for extracting the two-dimensional (2-D) scattering center model is based on the combination of the cosine-modulated filter bank satisfying with perfect reconstruction condition (PR-CMFB) and TLS-ESPRIT with matrix enhancement (TLS-ESPRIT-ME) method. The basic ideal underlying the proposed approach is that the analysis banks are first used to implement the multichannel decomposition of scattering signal in frequency-aspect domain, the synthesis banks are then used to recombine the decomposed signals, and to conveniently obtain several separable subregional signals with enhanced signal-to-noise ratio (SNR) and without loss of information. Thus TLS-ESPRIT-ME method can be employed in every subregion independently and simultaneously, making the approach efficient and possesses superior noise performance. The simulations show that such combination works well and can be used for target identification using low-resolution radars efficiently.