| Citation: | ZHAO Jingcheng, YANG Zongkai, WANG Jian, et al. RCS prediction method for cylinder containing microwave absorbing material[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(7): 1362-1371. doi: 10.13700/j.bh.1001-5965.2020.0214(in Chinese)
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Large target's Radar Cross Section (RCS) estimation using scaling model is a common method to obtain RCS at the development phase. However, according to classical electromagnetic similarity theory, measurement of scaled target coated with microwave absorbing material is difficult to meet the scaling condition strictly. A multivariate logarithmic linear regression model is proposed to estimate RCS for the scaled target coated with microwave absorbing materials. Two sets of cylindrical models were designed and tested in the microwave anechoic chamber with scaling factors of 1:1, 1:2, 1:4 and 1:8, respectively. On the basis of data preprocessing such as angle correction, RCS data of scaling model is substituted into the model as training set to obtain parameters, and RCS of the original model is estimated and compared with the actual measured data. The results show that the curves of the predicted data and the measured data fit well. Compared with the traditional square rate formula, the error of the proposed method decreases by 3-5 dB, and the error decreases by 0.3-0.8 dB after adding the microwave absorbing material factor to the regression model.
| [1] |
VAN SCHALKWYK R F, SMIT J C. Dynamic radar cross section measurements of a full-scale aircraft for RCS modelling validation[C]//International Conference on Radar Systems (Radar 2017), 2017: 1-6.
|
| [2] |
李江海, 孙秦. 导体与非导体介质翼型的缩比模型RCS数值计算分析[J]. 航空计算技术, 2008, 38(1): 23-25. doi: 10.3969/j.issn.1671-654X.2008.01.007
LI J H, SUN Q. RCS numerical analysis of scaling model for conductor and nonconductor dielectric airfoil[J]. Aeronautical Computing Technology, 2008, 38(1): 23-25(in Chinese). doi: 10.3969/j.issn.1671-654X.2008.01.007
|
| [3] |
夏应清, 杨河林, 鲁述, 等. 超电大复杂目标RCS缩比模型预估方法[J]. 微波学报, 2003, 19(1): 8-11. doi: 10.3969/j.issn.1005-6122.2003.01.002
XIA Y Q, YANG H L, LU S, et al. Prediction of RCS for extremely large electric size target by using scaling model[J]. Chinese Journal of Radio Science, 2003, 19(1): 8-11(in Chinese). doi: 10.3969/j.issn.1005-6122.2003.01.002
|
| [4] |
陈晓洁, 李磊, 史小卫, 等. 半空间理想导体目标RCS缩比关系的研究[C]//全国微波毫米波会议, 2006: 96-99.
CHEN X J, LI L, SHI X W, et al. Study on RCS scaling relationship of perfect conducting objects in half space[J]. National Conference on Microwave and Millimeter Waves (NCMMW), 2006: 96-99(in Chinese).
|
| [5] |
赵佼. 导体目标与海面复合电磁散射的缩比诱导关系[D]. 西安: 西安电子科技大学, 2014: 16-18.
ZHAO J. The scale relation of the composite electromagnetic scattering from a conductor target above sea surface[D]. Xi'an: Xi'an University of Electronic Science and Technology, 2014: 16-18(in Chinese).
|
| [6] |
李良超, 吴振森, 邓蓉. 复杂目标后向激光雷达散射截面计算与缩比模型测量比较[J]. 中国激光, 2005, 32(6): 44-48.
LI L C, WU Z S, DENG R. Comparison of the back laser rader cross-section calculation of complex object with the measurement of scale-model[J]. China Laser, 2005, 32(6): 44-48(in Chinese).
|
| [7] |
SHI Z D, DING C S, CHEN J Y. Dimensional analysis and physical similarity of lossy electromagnetic systems[J]. Chinese Physics Letters, 1993, 10(6): 347-350. doi: 10.1088/0256-307X/10/6/008
|
| [8] |
时振栋, 刘宏伟. 隐身目标雷达截面的缩比测量及反演计算[J]. 电子科技大学学报, 1995(S1): 13-17.
SHI Z D, LIU H W. Scale measurement and inversion calculation of radar cross section of invisible target[J]. Journal of University of Electronic Science and Technology, 1995(S1): 13-17(in Chinese).
|
| [9] |
时振栋, 杨仕文, 丁春生. 有耗雷达目标散射截面的缩比计算——再论有耗电磁系统的相似性[J]. 应用科学学报, 1993, 11(2): 109-114.
SHI Z D, YANG S W, DING C S. Computation of the scattering cross section of lossy radar targets-On the similarity of lossy electromagnetic systems[J]. Journal of Applied Sciences, 1993, 11(2): 109-114(in Chinese).
|
| [10] |
刘宏伟, 时振栋, 唐璞. 有耗雷达目标的RCS模型测量方法[J]. 电子科学学刊, 1996, 18(1): 95-98.
LIU H W, SHI Z D, TANG P. RCS model measurement method for lossy radar targets[J]. Journal of Electronic Science, 1996, 18(1): 95-98(in Chinese).
|
| [11] |
胡艳, 时振栋, 唐璞, 等. 电磁相似性在计算基本散射体RCS方面的应用[J]. 应用科学学报, 2004, 22(1): 46-49. doi: 10.3969/j.issn.0255-8297.2004.01.010
HU Y, SHI Z D, TANG P, et al. The application of electromagnetic similarity in the calculation of RCS of the basic scatterer[J]. Journal of Applied Sciences, 2004, 22(1): 46-49(in Chinese). doi: 10.3969/j.issn.0255-8297.2004.01.010
|
| [12] |
陈晓洁. 电大目标雷达散射截面的研究[D]. 西安: 西安电子科技大学, 2006: 14-16.
CHEN X J. Research on radar cross section of electrically large target[D]. Xi'an: Xi'an University of Electronic Science and Technology, 2006: 14-16(in Chinese).
|
| [13] |
蒋文亭, 吴德伟, 何晶. 目标雷达散射截面缩比测量关键技术概述[J]. 信息工程大学学报, 2013, 14(2): 184-188.
JANG W T, WU D W, HE J. Summary of key technologies of scale model measurement of RCS[J]. Journal of Information Engineering University, 2013, 14(2): 184-188(in Chinese).
|
| [14] |
SUSETIO A, OKI T, MORISHITA H. Monostatic radar cross section evaluations of scale model single layer dielectric radar absorbing material at S and X bands[C]//IEEE 4th Asia-Pacific Conference on Antennas and Propagation (APCAP). Piscataway: IEEE Press, 2015: 568-569.
|
| [15] |
SINCLAIR G. Theory of models of electromagnetic systems[J]. Proceedings of the IRE, 1948, 36(11): 1364-1370. doi: 10.1109/JRPROC.1948.232289
|
| [16] |
刘闯, 金仁瀚, 巩二磊, 等. 多元线性回归方法预测燃气轮机发电机组性能[J]. 中国电机工程学报, 2017, 37(16): 4731-4738.
LIU C, JIN R H, GONG E L, et al. Prediction for the performance of gas turbine units using multiple linear regression[J]. Proceedings of the CSEE, 2017, 37(16): 4731-4738(in Chinese).
|
| [17] |
王振友, 陈莉娥. 多元线性回归统计预测模型的应用[J]. 统计与决策, 2008(5): 46-47.
WANG Z Y, CHEN L E. Application of multivariate linear regression statistical prediction model[J]. Statistics and Decision, 2008(5): 46-47(in Chinese).
|
| [18] |
黄兵, 胥云, 廖映华, 等. 基于BP神经网络和多元线性回归的航发叶片铣削力预测研究[J]. 机电工程, 2019, 36(8): 824-829.
HUANG B, XU Y, LIAO Y H, et al. Milling force forecasting of aero-engine blade based on BP neural network and multivariate linear regression[J]. Journal of Mechanical & Electrical Engineering, 2019, 36(8): 824-829(in Chinese).
|
| [19] |
PERRON P, YAMAMOTO Y. Pitfalls of two-step testing for changes in the error variance and coefficients of a linear regression model[J]. Econometrics, 2019, 7(2): 1-11. http://ideas.repec.org/p/hit/econdp/2019-01.html
|
| [20] |
中国航天标准化研究所. 室内场目标雷达散射截面测试方法: GJB 5022-2001[S]. 北京: 国防科学技术工业委员会, 2001: 1-14.
China Aerospace Standardization Institute. Method for measurement of radar cross section of scale target indoor range: GJB 5022-2001[S]. Beijing: Commission on Science, Technology and Industry for National Defense, 2001: 1-14(in Chinese).
|
| [21] |
李贵晓. 化工过程动态数据校正与过失误差侦破的研究[D]. 青岛: 青岛科技大学, 2014: 5-8.
LI G X. Research on dynamic data correction and error detection of chemical process[D]. Qingdao: Qingdao University of Science and Technology, 2014: 5-8(in Chinese).
|
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