Title :
1-D superresolution ISAR imaging algorithm
Author :
Peng, Cao ; Hua-qiang, Liang ; Wei-chao, He
Author_Institution :
Sch. of Electr. & Inf., NWPU, Xi´´an, China
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.
Keywords :
computational complexity; covariance matrices; eigenvalues and eigenfunctions; radar imaging; radar resolution; synthetic aperture radar; 1D scattering centers extraction; 1D superresolution ISAR imaging; FB covariance matrix; centro-Hermitian data matrices; computational complexity; eigendecomposition; forward-backward averaging; radar target; unitary root-MUSIC; unitary transform; Computational modeling; Image resolution; Multiple signal classification; Scattering; Signal resolution;
Conference_Titel :
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-6868-3
DOI :
10.1109/ICCT.2010.5688960