ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Radar Cross Section Fluctuation Characteristics of Typical Stealth Aircraft
Received date: 2013-12-30
Revised date: 2014-04-14
Online published: 2014-05-07
Radar cross section (RCS) fluctuation characteristics are used to predict radar's detection performance and evaluate aircraft's scattering characteristic. Azimuth RCS statistics under different incident conditions for six typical stealth aircraft at eight different bands each with two kinds of polarizations are obtained utilizing high-frequency electromagnetic computation method. Three kinds of relatively new fluctuation models are used to fit those statistics and some universal conclusions are made by analyzing all the fitting patterns. The Chi-square model gives a better peak value estimation for the probability density distribution curve but doesn't fit very well after the curve peak; the log-normal model often gives a higher estimation for the peak value but fits well after the curve peak; the fitting error of Chi-square model decreases when the double-degrees of freedom increases (to about 1.1-1.5), which results from the increasing ratio (about 0.1-1.0) of the mean square to the variance of the statistics, and according to the Kolmogorov-Smirnov testing method, the error is about 0.15 to 0.25; the fitting error of log-normal model also decreases (to about 1.5-5.0) when the ratio of mean to median value of the statistics decreases. When the statistics unit is dB·m2, the log-normal model and Legendre polynomials model always fit the data well more widely and the error is generally lower than 0.10.
CHEN Shichun , HUANG Peilin , JI Jinzu . Radar Cross Section Fluctuation Characteristics of Typical Stealth Aircraft[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014 , 35(12) : 3304 -3314 . DOI: 10.7527/S1000-6893.2014.0053
[1] Sang J H. Low-observable technologies of aircraft[M]. Beijing: Aviation Industry Press, 2013: 14-15. (in Chinese) 桑建华. 飞行器隐身技术[M]. 北京: 航空工业出版社, 2013: 14-15.
[2] Nathanson F E. Radar design principles[M]. New York: Mcgraw-Hill Book Company, 1969: 148-152.
[3] Marcum J I. A statistical theory of target detection by pulsed radar[J]. IRE Transactions on Information Therory, 1960, 6(2): 259-267.
[4] Swerling P. Probability of detection for fluctuating targets[J]. IRE Transactions on Information Therory, 1960, 6(2): 269-308.
[5] Meyer D P. Radar target detection—handbook of theory and practice[M]. New York: Academic Press, 1973: 64-65.
[6] Heidbreder G R, Mitchell R L. Detection probabilities for log-normally distributed signals[J]. IEEE Transactions on Aerospace and Electronic Systems, 1967, 3(1): 5-13.
[7] Scholefield P H R. Statistical aspects of ideal radar targets[J]. Proceedings of IEEE, 1967, 55(4): 587-589.
[8] Xu X J, Huang P K. A new RCS statistical model of radar targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1997, 33(2): 710-714.
[9] Shnidman D A. Radar detection probabilities and their calculation[J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(3): 928-950.
[10] Shnidman D A. Calculation of probability of detection for log-normal target fluctuations[J]. IEEE Transactions on Aerospace and Electronic Systems, 1991, 27(1): 172-174.
[11] Weiner M A. Detection probability for partially correlated chi-square targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1988, 24(4): 411-416.
[12] Shnidman D A. Expanded swerling target models[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(3): 1059-1068.
[13] Wilson J D. Probability of detecting aircraft targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1972, AES-8(6): 757-761.
[14] Han D S. Detection performance of CFAR detectors based on order statistics for partially correlated Chi-square targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(4): 1423-1429.
[15] Dai C, Xu Z H, Xiao S P. Simulation method of dynamic RCS for non-cooperative target[J]. Acta Aeronautica et Astronautica Sinica, 2013, 34(1): 1-9. (in Chiness) 戴崇, 徐振海, 肖顺平. 非合作目标动态RCS仿真方法[J]. 航空学报, 2013, 34(1): 1-9.
[16] Swerling P. Radar probability of detection for some additional fluctuating target cases[J]. IEEE Transactions on Aerospace and Electronic Systems, 1997, 33(2): 698-709.
[17] Song X F, Blair W D, Willett P. Dominant-plus-Rayleigh models for RCS: Swerling Ⅲ/Ⅳ versus Rician[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(3): 2058-2064.
[18] Weinstock W. Target cross section models for radar systems analysis[D]. Philadephia: University of Pennsylvanian, 1964.
[19] Sheather S J. Density estimation[J]. Statistical Science, 2004, 19(4): 588-596.
[20] Wang X. Non-parametric statistics[M]. Beijing: Tsinghua University Press, 2009: 94. (in Chinese) 王星. 非参数统计[M]. 北京:清华大学出版社, 2009: 94.
[21] Huang P K, Yin H C, Xu X J. Radar target characteristics[M]. Beijing: Publishing House of Electronics Industry, 2006: 135-145. (in Chinese) 黄培康, 殷红成, 许小剑. 雷达目标特性[M]. 北京: 电子工业出版社, 2006: 135-145.
/
| 〈 |
|
〉 |
CJA