A robust detection method for micro-Doppler feature of rotating blades under low SNR
Author:
Affiliation:
1. Institute of Marine Electronic and Intelligent System, Ocean College
2. Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, Zhejiang University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/comex/8/8/8_2019XBL0074/_pdf
Reference9 articles.
1. [1] V. C. Chen, The Micro-Doppler Effect in Radar, Artech House, Boston, 2011.
2. [2] B. S. Oh, X. Guo, F. Wan, K. A. Toh, and Z. Lin, “An EMD-based micro-Doppler signature analysis for mini-UAV blade flash reconstruction,” 2017 22nd International Conference on Digital Signal Processing, London, UK, pp. 1–5, Aug. 2017. DOI:10.1109/ICDSP.2017.8096105
3. [3] L. Stankovic, I. Orovic, S. Stankovic, and A. Moeness, “Compressive sensing based separation of nonstationary and stationary signals overlapping in time-frequency,” IEEE Trans. Signal Process., vol. 61, no. 18, pp. 4562–4572, Sept. 2013. DOI:10.1109/TSP.2013.2271752
4. [4] W. Kang, Y. Zhang, and X. Dong, “Micro-Doppler effect removal for ISAR imaging based on bivariate variational mode decomposition,” IET Radar Sonar & Navigation, vol. 12, no. 1, pp. 74–81, Jan. 2018. DOI:10.1049/iet-rsn.2017.0104
5. [5] L. Cirillo, A. M. Zoubir, and M. Amin, “Parameter estimation for locally linear FM signals using a time-frequency Hough transform,” IEEE Trans. Signal Process., vol. 56, no. 9, pp. 4162–4175, Sept. 2008. DOI:10.1109/TSP.2008.924797
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