Two-Dimensional Augmented State–Space Approach with Applications to Sparse Representation of Radar Signatures

In this work, we focus on sparse representation of two-dimensional (2-D) radar signatures for man-made targets. Based on the damped exponential (DE) model, a 2-D augmented state−space approach (ASSA) is proposed to estimate the parameters of scattering centers on complex man-made targets,...

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Bibliographic Details
Main Authors: Kejiang Wu, Xiaojian Xu
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/21/4631
Description
Summary:In this work, we focus on sparse representation of two-dimensional (2-D) radar signatures for man-made targets. Based on the damped exponential (DE) model, a 2-D augmented state−space approach (ASSA) is proposed to estimate the parameters of scattering centers on complex man-made targets, i.e., the complex amplitudes and the poles in down-range and aspect dimensions. An augmented state−space approach is developed for pole estimation of down-range dimension. Multiple-range search strategy, which applies one-dimensional (1-D) state−space approach (SSA) to the 1-D data for each down-range cell, is used to alleviate the pole-pairing problem occurring in previous algorithms. Effectiveness of the proposed approach is verified by the numerical and measured inverse synthetic aperture radar (ISAR) data.
ISSN:1424-8220