References
[1] ZHANG W, WANG G Y, ZENG Y H, et al. Research on
dynamic RCS distribution characteristics of aircraft targets. Journal
of Radio Science, 2010, 25(1): 117 - 121 (in Chinese).
[2] GAO Z H, WANG M L. An efficient algorithm for calculating
aircraft RCS based on the geometrical characteristics. Chinese Journal of Aeronautics, 2008, 21(4): 296 - 303.
[3] SWERLING P. Radar probability of detection for some additional
fluctuating target cases. IEEE Transactions on Aerospace and Electronic Systems, 2007, 33(2): 698 - 709.
[4] ZHUANG Y Q, WANG Y Z, LIU J L. Research on statistical
characteristic of stealth UAV. Journal of Microwave, 2020,
36(S1): 60 - 62 (in Chinese).
[5] ZHANG B, ZHANG Y, LU W W, et al. A study on fully
polarimetric RCS statistical characteristics of fixed-wing UAV in
Ku Band. Modern Radar, 2020, 42(6): 41 - 47 (in Chinese).
[6] FU L, JIANG G W, HUANG Q J. Statistical characteristics
analysis based on F/A-XX fighter using adapative kernel density estimation algorithm. Journal of Shanghai Jiaotong University
(Science), 2022, DOI: 10.1007/s12204-022-2467-9.
[7] CHEN S C, HUANG P L, JI J Q. Radar cross section fluctuation
characteristics of typical stealth aircraft. Acta Aeronautica et Astronautica Sinica, 2014, 35(12): 3304 - 3314.
[8] DENG H W, SHANG S T, JIN H, et al. Analysis and discussion
of aeroengine stealth technology. Aeronautical Science and Technology, 2017, 28(10): 1 - 7 (in Chinese).
[9] LAPKO A V. Modified fast algorithm for the bandwidth selection
of the kernel density estimation. Optoelectronics, Instrumentation
and Data Processing, 2020, 56(6): 566 - 572.
[10] SHI M, YIN R, WANG Y F, et al. Photovoltaic power interval
forecasting method based on kernel density estimation algorithm. IOP Conference Series: Earth and Environmental Science, Vol
615: Proceedings of the 2020 International Conference on Green Development and Environmental Science and Technology
(ICGDE'20), 2020, Sept 18 - 20, Changsha, China. Bristol,
UK: IOP Publishing, 2020: Article 012062.
[11] Kotlarski I. On characterizing the Chi square distribution by the
student law. Journal of the American Statistical Association, 1966, 61(316): 976 - 981.
[12] GEORGE K, DIMITRIOS G, KOUDAS N, et al. Efficient biased
sampling for approximate clustering and outlier detection in large data sets. IEEE Transactions on Knowledge and Data Engineering,
2003, 15(5): 1170 - 1187.
[13] SWERLING P. Radar probability of detection for some additional
fluctuating target cases. IEEE Transactions on Aerospace and Electronic Systems, 1997, 33(2): 698 - 709.
[14] JENSSEN R. Indefinite Parzen window for spectral clustering.
Proceedings of the 2007 IEEE Workshop on Machine Learning for
Signal Processing, 2007, Aug 27 - 29, Thessaloniki, Greece.
Piscataway, NJ, USA: IEEE, 2007: 390 - 395.
[15] YANDELL B S. Kernel smoothing. Technometrics, 1996,
38(1): 75 - 76.
[16] ZHUANG Y Q, ZHANG C X, ZHANG X K, et al. Statistical
analysis and simulation of typical stealth aircraft dynamic RCS.
Journal of Microwave, 2014, 30(5): 17 - 21 (in Chinese).
[17] SUSMITA P, PRADIPTA K N. Kernel density estimation and
correntropy based background modeling and camera model parameter estimation for underwater video object detection. Soft
Computing—A Fusion of Foundations, Methodologies and Applications, 2021(15): 10477 - 10496.
[18] ZHANG Q L, WANG S T. A novel rule-centered fuzzy model by
Epanechnikov mixtures. Journal of Computer Research and Development, 2010, 47(5): 940 - 947 (in Chinese).
[19] LI X C, HOU Y. Indoor positioning technology based on improved
AP selection and KNN algorithm. Journal of Computer Applications, 2017, 37(11): 3276 - 3280 (in Chinese).
[20] CHEN S Y, CHEN T T. Dockless shared bicycle flow control by
using kernel density estimation based clustering. Advances in Technology Innovation, 2021, 6(3): 146 - 156.
[21] TIAN S, ZENG L L. Fast charging behavior of electric taxi based
on improved kernel density estimation. Journal of Transportation
Systems Engineering and Information Technology, 2021, 21(4):
221 - 229 (in Chinese).
[22] FU Y M. Communication signal detection and recognition
technology based on goodness of fit test. Ph D Thesis. Changsha, China: National University of Defense Technology, 2015 (in
Chinese).
[23] MA X. Anomaly detection method for viewing datasets based on
improved DBSCAN algorithm and K-S test. Master Thesis. Beijing, China: Beijing University of Posts and
Telecommunications, 2021 (in Chinese).
[24] ZHAO H. Research on edge distribution in copula distribution
estimation algorithm based on K-S test. Master Thesis. Taiyuan, China: Taiyuan University of Science and Technology, 2013 (in
Chinese).
[25] XIE X, XU Z G. Blind watermark detection based on K-S test in
radio-frequency signals. Electronics Letters, 2020, 56(1): 30 -
32.
|