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Hashempour, H. (2019). Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition. Electronic and Cyber Defense, 7(1), 15-23.
H. R. Hashempour. "Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition". Electronic and Cyber Defense, 7, 1, 2019, 15-23.
Hashempour, H. (2019). 'Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition', Electronic and Cyber Defense, 7(1), pp. 15-23.
Hashempour, H. Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition. Electronic and Cyber Defense, 2019; 7(1): 15-23.

Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition

رادار
Article 2, Volume 7, Issue 1 - Serial Number 21, December 2019, Pages 15-23    PDF (1.6 M)
Document Type: Original Article
Author
H. R. Hashempour*
Shiraz University
Receive Date: 04 April 2019,  Revise Date: 29 June 2019,  Accept Date: 29 June 2019 
Abstract
In this paper, a fast-parametric method for ISAR autofocus is proposed which is based on the minimum entropy method and eigenvalue decomposition, and has less computational complexity than that of conventional autofocus methods. In this technique, the covariance matrix of the range compressed and aligned data is formed and by utilizing eigenvalue decomposition, signal and noise are separated. Then, the Fourier transform of the signal eigenvectors which are much smaller than the total eigenvectors is taken. Finally, by applying the conventional autofocus approaches to the image of eigenvectors, the phase error is estimated. In this paper, a parametric method based on entropy is utilized. The simulation results show that although the computational complexity is decreased, the performance of the algorithm is maintained.
Keywords
Entropy; Eigenvalue Decomposition; Autofocus; ISAR
References

 

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