Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition

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Hashempour H.R.

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Paper Information

Journal: JOURNAL OF RADAR Year:2019 | Volume:7 | Issue:1 (SERIAL No. 21) Page(s): 15-23

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Information Journal Paper

Title

Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition

Author(s)

Hashempour H.R. | Issue Writer Certificate

Keywords

EntropyQ2

Eigenvalue DecompositionQ1

AutofocusQ1

ISARQ1

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.

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APA: Copy

Hashempour, H.R.. (2019). Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition. JOURNAL OF RADAR, 7(1 (SERIAL No. 21)), 15-23. SID. https://sid.ir/paper/391718/en

Vancouver: Copy

Hashempour H.R.. Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition. JOURNAL OF RADAR[Internet]. 2019;7(1 (SERIAL No. 21)):15-23. Available from: https://sid.ir/paper/391718/en

IEEE: Copy

H.R. Hashempour, “Fast Parametric ISAR Autofocus Algorithm Based on Entropy and Eigenvalue Decomposition,” JOURNAL OF RADAR, vol. 7, no. 1 (SERIAL No. 21), pp. 15–23, 2019, [Online]. Available: https://sid.ir/paper/391718/en

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