Study of Millimeter-Wave Fuze Echo Characteristics under Rainfall Conditions Using the Monte Carlo Method

Q1 Mathematics Applied Sciences Pub Date : 2024-09-17 DOI:10.3390/app14188352
Bing Yang, Zhe Guo, Kaiwei Wu, Zhonghua Huang
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引用次数: 0

Abstract

Due to the similarity in wavelength between millimeter-wave (MMW) signals and raindrop diameters, rainfall induces significant attenuation and scattering effects that challenge the detection performance of MMW fuzes in rainy environments. To enhance the adaptability of frequency-modulated MMW fuzes in such conditions, the effects of rain on MMW signal attenuation and scattering are investigated. A mathematical model for the multipath echo signals of the fuze was developed. The Monte Carlo method was employed to simulate echo signals considering multiple scattering, and experimental validations were conducted. The results from simulations and experiments revealed that rainfall increases the bottom noise of the echo signal, with rain backscatter noise predominantly affecting the lower end of the echo signal spectrum. However, rain conditions below torrential levels did not significantly impact the detection of strong reflection targets at the high end of the spectrum. The modeling approach and findings presented offer theoretical support for designing MMW fuzes with improved environmental adaptability.
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使用蒙特卡洛方法研究降雨条件下毫米波引信的回波特性
由于毫米波(MMW)信号与雨滴直径之间的波长相似,降雨会产生显著的衰减和散射效应,从而对毫米波引信在多雨环境中的探测性能提出挑战。为了提高频率调制型毫米波引信在这种条件下的适应性,研究了降雨对毫米波信号衰减和散射的影响。建立了引信多径回波信号的数学模型。采用蒙特卡罗方法模拟了考虑到多重散射的回波信号,并进行了实验验证。模拟和实验结果表明,降雨会增加回波信号的底噪,雨水反向散射噪声主要影响回波信号频谱的低端。然而,低于暴雨量级的降雨条件并不会对频谱高端的强反射目标的探测产生重大影响。所介绍的建模方法和研究结果为设计具有更强环境适应性的毫米波引信提供了理论支持。
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来源期刊
Applied Sciences
Applied Sciences Mathematics-Applied Mathematics
CiteScore
6.40
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: APPS is an international journal. APPS covers a wide spectrum of pure and applied mathematics in science and technology, promoting especially papers presented at Carpato-Balkan meetings. The Editorial Board of APPS takes a very active role in selecting and refereeing papers, ensuring the best quality of contemporary mathematics and its applications. APPS is abstracted in Zentralblatt für Mathematik. The APPS journal uses Double blind peer review.
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