Design of Integrated Stealth Measure for Radar Waveform Stealth Performance
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| Abstract: | Stealth measure is a key index to measure radar signal stealth capability. However, current radar signal stealth measure is mostly a single evaluation index, which is difficult to comprehensively evaluate radar signal stealth capability. Based on this, this paper improves the evaluation factor on the basis of previous LPI evaluation factor, relative entropy and interception factor, and eliminates the factors that have no influence on the power spectrum distribution. A new spectral distribution factor is constructed and the spectral distribution factor of ideal LPI signal is used to normalize the spectral distribution factor. The final calculation formula of relative entropy is simplified to reduce the dependence on the calculation process. The relative entropy can be calculated only by the beginning and end of the empirical distribution function of random variable after integral transformation. The interception factors are sorted out again to extract the power, time width, bandwidth and other factors that affect the stealth performance of radar signal. A new comprehensive stealth measure was constructed from the above three stealth evaluation indexes by means of equal weight product. The comprehensive stealth measure is used to simulate common LPI radar signals, and the effectiveness of the comprehensive stealth measure is proved by simulation analysis. |
| Keywords: | Spectral Distribution Factor; Relative Entropy; Interception Factor; Comprehensive Stealth Measure |
| DOI: | 10.57237/j.se.2023.01.002 |
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Received: 6 December 2022
Accepted: 13 January 2023
Published Online: 3 February 2023
Funding
| 1. | 国家自然科学基金面上项目《时-空联合压缩感知3D超分辨雷达成像机理研究》(61271331) |
| 2. | 国家自然科学基金国际合作项目《基于类DNA结构人工电磁材料的电磁波相位调控机理研究》 (62211530440). |
References
| [1] | 汪飞, 李海林, 夏伟杰, 周建江. 低截获概率机载雷达信号处理技术 [M]. 北京: 科学出版社, 2015. 6: 2-4. |
| [2] | Schleher D C. Low probablity of intercept radar. International Radar Conference, 1985, 1: 346-349. |
| [3] | 高超, 邓晓波, 郑世友. 基于瞬时时宽带宽积的LPI波形射频隐身性能评估方法 [J]. 现代雷达, 2021, 43 (08): 62-65. |
| [4] | 朱银川. 飞行器射频隐身技术内涵与性能度量研究. 电讯技术, 2013, 53 (1): 6-11. |
| [5] | Fancey. C., Alabaster. C. M. The metrication of low probability of intercept waveforms [C]. //2010 International Waveform Diversity and Design Conference.: IEEE, 2010: 58-62. |
| [6] | Chen Jun, Wang, Fei, Zhou, Jianjiang. The metrication of LPI radar waveforms based on the asymptotic spectral distribution of wigner matrices [C]. Institute of Electrical and Electronics Engineers, 2015: 331-335. |
| [7] | B. J. Skinner, J. P. Donohoe and F. M. Ingels, "On the power spectral density of FSK/PSK radar signals corrupted by oscillator phase noise," 92 International Conference on Radar, 1992, pp. 238-241. |
| [8] | 李恒璐. 基于信息熵的雷达目标数据关联与跟踪算法研究 [D]. 西安电子科技大学, 2020. |
| [9] | Wang F, Sellathurai M, Liu W Q. Security information factor based airborne radar RF stealth. Journal of Systems Engineering and Electronics, 2015. |
| [10] | Shi C G, Zhou J J, Wang F, et al. LPID optimization with security information in radar network. International Journal of Electronics, 2014. |
| [11] | 丁鹭飞, 耿富录. 雷达原理. 西安: 西安电子科技大学出版社, 2009. |
| [12] | 胡来招. 雷达侦察接收机设计. 北京: 国防工业出版社, 2000. |
| [13] | 阮黎婷. 非线性调频信号的波形设计与脉冲压缩 [D]. 西安电子科技大学, 2010. |
| [14] | YANG HONGBING, ZHANG ZHENKAI, WANG FEI, et al. Design and Analysis of Costas/PSK RF Stealth Signal Waveform [C]. // 2011 IEEE CIE International Conference on Radar. 2011: 1247-1250. |
| [15] | CORRELL, BILL, JR., BEARD, JAMES K., SWANSON, CHRISTOPHER N. Costas Array Waveforms for Closely Spaced Target Detection [J]. 2020, 56 (2): 1045-1076. |
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