Optimal Beamforming for Maximization of the Image SNR in Ground-Based Circular Synthetic Aperture Radar

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SAMAREH HASHEMI S.R.

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Journal: JOURNAL OF RADAR Year:2019 | Volume:6 | Issue:2 Page(s): 45-57

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Information Journal Paper

Title

Optimal Beamforming for Maximization of the Image SNR in Ground-Based Circular Synthetic Aperture Radar

Author(s)

SAMAREH HASHEMI S.R. | Issue Writer Certificate

Keywords

Synthetic Aperture Radar (SAR)Q2

Circular Synthetic Aperture Radar (CSAR)Q1

Digital BeamformingQ1

OptimizationQ2

Eigenvalue DecompositionQ1

Abstract

In this paper a method for optimal Digital Beamforming in ground-based circular synthetic aperture radar in order to maximize the image signal to noise ratio (SNR) is proposed. In this method to maximize the image SNR, an array of receiver elements is used and the complex weighting coefficients of receiver channels are computed by solving an Optimization problem and Eigenvalue Decomposition. The Optimization problem is formed based on data modeling in each range and matched filter image formation and SNR computation in each image pixel versus excitation coefficients. Finally, optimal weighting coefficients of each range are computed as the eigenvector corresponding to the largest eigenvalue of a matrix related to the geometry and parameters of the system. Simulations illustrate the superiority of the proposed method in increasing image SNR over other Digital Beamforming methods, especially at long ranges.

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APA: Copy

SAMAREH HASHEMI, S.R.. (2019). Optimal Beamforming for Maximization of the Image SNR in Ground-Based Circular Synthetic Aperture Radar. JOURNAL OF RADAR, 6(2 ), 45-57. SID. https://sid.ir/paper/244168/en

Vancouver: Copy

SAMAREH HASHEMI S.R.. Optimal Beamforming for Maximization of the Image SNR in Ground-Based Circular Synthetic Aperture Radar. JOURNAL OF RADAR[Internet]. 2019;6(2 ):45-57. Available from: https://sid.ir/paper/244168/en

IEEE: Copy

S.R. SAMAREH HASHEMI, “Optimal Beamforming for Maximization of the Image SNR in Ground-Based Circular Synthetic Aperture Radar,” JOURNAL OF RADAR, vol. 6, no. 2 , pp. 45–57, 2019, [Online]. Available: https://sid.ir/paper/244168/en

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