基于电磁散射特征参数提取与数据分布分析的非线性目标识别
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摘要
非线性目标的探测与识别在国防、反恐、安保、救援、交通安全等领域均具有重要意义.为提高上述场景下对非线性目标的探测识别能力,文中以典型的非线性器件——肖特基二极管为例,构建了非线性目标的谐波散射模型,并在此基础上利用不同类型非线性目标散射的各次谐波强度与变化趋势不同的特性,提出了一种利用数理方法提取分析目标散射特征参数进而实现对非线性目标探测识别的方法.实验结果显示,本次提出的方法在小样本下对未知非线性目标的识别率在81%左右,证明了该方法对非线性器件有较好的探测与识别能力.
The detection and identification of nonlinear targets havea great significance in the fields of national defense, anti-terrorism, security, rescue, and traffic safety. In order to improve the detection and recognition ability of nonlinear targets in the above scenarios, taking a typical nonlinear device, Schottky diode, as an example, a harmonic scattering model of nonlinear targets is constructed. On this basis, using the characteristics of different harmonic intensity and variation trend of different types of nonlinear target scattering, a method of extracting and analyzing the target scattering characteristic parameters by using mathematical methods to realize the detection and recognition of nonlinear targets is proposed. The experimental results show that the proposed method has a recognition rate of 81% for unknown nonlinear targets under small samples, which proves that the method has better detection and recognition ability for nonlinear devices.
The detection and identification of nonlinear targets havea great significance in the fields of national defense, anti-terrorism, security, rescue, and traffic safety. In order to improve the detection and recognition ability of nonlinear targets in the above scenarios, taking a typical nonlinear device, Schottky diode, as an example, a harmonic scattering model of nonlinear targets is constructed. On this basis, using the characteristics of different harmonic intensity and variation trend of different types of nonlinear target scattering, a method of extracting and analyzing the target scattering characteristic parameters by using mathematical methods to realize the detection and recognition of nonlinear targets is proposed. The experimental results show that the proposed method has a recognition rate of 81% for unknown nonlinear targets under small samples, which proves that the method has better detection and recognition ability for nonlinear devices.
引文
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[2] VICENTE C, HARTNAGEL H L. Passive-intermodulation analysis between rough rectangular waveguide flanges[J]. IEEE transactions on microwave theory & techniques, 2005, 53(8):2515-2525.
[3] GALLAGHER K A, MAZZARO G J, MARTONE A F, et al. Recent non-linear radar research at the Army Research Laboratory[C]//SPIE Conference on Radar Sensor Technology XXI. Anaheim:SPIE,9-13 April, 2017.
[4] 顾继慧, 陈如山. 谐波雷达目标识别研究[J]. 现代雷达, 2001, 23(1):24-27. GU J H, CHEN R S. Target identification method of harmonic radar[J].Modern radar, 2001, 23(1):24-27.(in Chinese)
[5] MAZZARO G J, MARTONE A F, McNAMARA D M. Detection of RF electronics by multitone harmonic radar[J]. IEEE transactions on aerospace &electronic systems, 2014, 50(1):477-490.
[6] 王琛.谐波雷达总体技术研究[D]. 南京: 南京理工大学, 2008. WANG C.Research on the overall technology of harmonic radar[D]. Nanjing: Nanjing University of Science and Technology,2008. (in Chinese)
[7] LU R, WANG H Y. The re-radiation characteristics of nonlinear target in harmonic radar detection[C]//Microwave Conference, 2008 China-Japan Joint. Shanghai: IEEE, 10-12 September, 2009:661-664.
[8] HARTLEY H O. The use of range in analysis of variance[J]. Biometrika, 1950, 37(3-4):271.
[9] NETER J, WASSERMAN W, KUTNER M H. Applied linear statistical models—analysis of variance and experimental designs[M]. Illinois:Richard D. Irwin,1974:21-49.
[10] WAGENMAKERS E J, BROWN S. On the linear relation between the mean and the standard deviation of a response time distribution.[J]. Psychological review, 2007, 114(3):830.
[11] BAI Z, WANG K, WONG W K. The mean-variance ratio test—a complement to the coefficient of variation test and the Sharpe ratio test[J]. Statistics &probability letters, 2011, 81(8):1078-1085.