Abstract
This paper focuses on moving target detection in single-channel circular-SAR (CSAR). The logarithm background subtraction algorithm described in this paper utilizes the overlapped subaperture logarithm image sequence to detect moving targets. It first models the background image with the input image sequence, and then uses the input images to subtract the background image to cancel the clutter. Finally, the moving target can be detected in a subtracted image sequence. However the detection performance depends on the azimuth aperture width (or otherwise the number of input images in one set of image sequence). Thus, the detection performance is analyzed with two measurements: the signal-to-clutter noise ratio (SCNR) improvement and the clutter cancellation ability. Based on the analysis, the proper azimuth aperture width to achieve the best detection performance could be obtained. The algorithm is validated by the GOTCHA-GMTI dataset.
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References
Cerutti-Maori, D., & Sikaneta, I. (2013). A generalization of DPCA processing for multichannel SAR/GMTI radars. IEEE Transactions on Geoscience and Remote Sensing, 51, 560–572.
Ender, J. H. G. (1999). Space-time processing for multichannel synthetic aperture radar. Electronics Communication Engineering Journal, 11, 29–38.
Chapin, E., & Chen, C. W. (2009). Airborne along-track interferometry for GMTI. IEEE Aerospace and Electronic Systems Magazine, 24, 13–18.
Chapman, R. D., Hawes, C. M., & Nord, M. E. (2010). Target motion ambiguities in single-aperture synthetic aperture radar. IEEE Transactions on Aerospace and Electronic Systems, 46, 459–468.
Poisson, J. B., Oriot, H. M., & Tupin, F. (2015). Ground moving target trajectory reconstruction in single-channel circular SAR. IEEE Transactions on Geoscience and Remote Sensing, 53, 1976–1984.
Shen, W., Lin, Y., Zhao, Y., Yu, L., & Hong, W. (2017). Initial result of single channel CSAR GMTI based on background subtraction. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 976–979.
Deming, R., Ilin, R., & Best, M. (2013). Phase-wrap** ambiguity in along-track interferometry. In: 2013 Proc. SPIE, Bellingham, WA (Vol. 8746, p. 87460E).
Acknowledgments
This work was supported by the Scientific Research Foundation of North China University of Technology, and supported by the Science and Technology Innovation Project of North China University of Technology. This work was also supported by the National Natural Science Foundation of China under Grant 61571421 and Grant 61431018.
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Shen, W., Lin, Y., Teng, F., Wang, Y., Hong, W. (2019). CSAR Moving Target Detection with Logarithm Background Subtraction Based on Optimal Azimuth Aperture Analysis. In: Quinto, E., Ida, N., Jiang, M., Louis, A. (eds) The Proceedings of the International Conference on Sensing and Imaging, 2018. ICSI 2018. Lecture Notes in Electrical Engineering, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-030-30825-4_7
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DOI: https://doi.org/10.1007/978-3-030-30825-4_7
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