Abstract
An important issue in low-altitude wind-shear detection is to estimate the wind speed of wind field. In this paper, a novel method for wind speed estimation with airborne phased array radar is proposed by combining space time adaptive processing and compressive sensing. The proposed method is able to achieve accurate wind speed estimate in the condition of limited number of sampling pulses, as demonstrated by numerical examples.
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Acknowledgments
This work was supported by National Nature Science Foundation of China (NSFC) under Grants 61471365, 61571442 and 61231017, National University’s Basic Research Foundation of China under Grant No. 3122015B002. The work is also supported by the Foundation for Sky Young Scholars of Civil Aviation University of China.
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Li, H., Zhou, M., Guo, Q. et al. Compressive sensing-based wind speed estimation for low-altitude wind-shear with airborne phased array radar. Multidim Syst Sign Process 29, 719–732 (2018). https://doi.org/10.1007/s11045-016-0448-6
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DOI: https://doi.org/10.1007/s11045-016-0448-6