Abstract
The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China under grant 61471149 and 61622107, and the Fundamental Research Funds for the Central Universities.
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Wang, Y., Zhang, H., Zhou, J. (2020). Bistatic SAR Imaging Based on Compressive Sensing Approach. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_95
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DOI: https://doi.org/10.1007/978-981-13-6504-1_95
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