Performance Analysis of a Parameterized APES (PAPES) Spectrum Estimation Method for ISAR Applications

A parameterized version of the non-parametric APES (Amplitude and Phase Estimation of a Sinusoid) spectrum estimation method, its application to Inverse Synthetic Aperture Radar (ISAR) imaging is studied and two algorithms for the estimation of complex spectral lines are proposed. The proposed method, referred as Parameterized APES (PAPES), is produced by a parameterization of the estimation of the noise covariance matrix using two parameters. We prove that the performance of the PAPES variant referred as Backward PAPES (B-PAPES) method exceeds that of CAPON and APES in terms of frequency resolution. We also prove that the proposed two algorithms outperform the existing CA summaries in English, Russian and Lithuanian).