ISAR Imaging for Fluctuating Ships Based on a Fast Bilinear Parameter Estimation Algorithm

PROJECT TITLE :

ISAR Imaging for Fluctuating Ships Based on a Fast Bilinear Parameter Estimation Algorithm

ABSTRACT:

For inverse synthetic aperture radar (ISAR) imaging of ships fluctuating with oceanic waves, azimuth echoes of a vary cell have to be modeled as cubic part signals (CPSs) once the range alignment and therefore the section adjustment. In ISAR imaging primarily based on the CPS model, the chirp rate and therefore the quadratic chirp rate are identified as causes of the target image defocus and would like to be estimated with a good algorithm. In this paper, a quick bilinear parameter estimation algorithm is proposed and applied in ISAR imaging for fluctuating ships by using the cubic phase bilinear operate, the nonuniform fast Fourier remodel (NUFFT), and the parameter area switching technique. Compared to two existing representative parameter estimation algorithms for the CPS, the advantages of this proposed estimation algorithm are: the computational cost is lower thanks to the NUFFT and therefore the parameter house switching technique and therefore the bilinearity and the energy accumulation operation guarantee the next anti-noise performance and a better suppression on cross-terms. Through simulations on artificial models and the important radar data, we verify the effectiveness of this fast bilinear parameter estimation algorithm and the corresponding ISAR imaging algorithm.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here