1-D superresolution ISAR imaging algorithm

Abstract

A novel 1-D scattering centers extraction algorithm of radar target based on conjugate unitary Root-MUSIC was introduced in this paper. To improve the resolution of 1-D scattering centers, the information of conjugated data was used availably by combining the observation data matrix with its conjugated data matrix. Centro-Hermitian data matrices with hermitian property was constructed by forward-backward(FB) averaging, Unitary transform was applied which convert the FB covariance matrix to a real matrix, and the computational efficiency is improved by real-valued eigendecomposition. Theory analysis and simulation result show that the new approach can improve the resolution and reduce significantly computational complexity.