Abstract: |
In response to the underutilization of atmospheric environmental characteristics characteristic data in fuze engineering design, a simulation modeling method that applies atmospheric environmental target characteristic data to the echo response characteristics of the fuze is proposed based on the Monte Carlo radiative transfer model and digital signal processing model. The rain attenuation model in this study was validated with the ITU recommended rain attenuation model. The attenuation characteristics of non atmospheric window millimeter waves under the combined effects of raindrops, water vapor, and oxygen molecules are investigated, in which the attenuation characteristics data are applied to the echo response characteristics of the fuze in simulation modeling. A fuze echo response model is established, presenting the one dimensional distance image and range Doppler image in the fuze echo response characteristics. The variations in the echo power and signal to noise ratio (SNR) of the fuze target in heavy rain and extreme heavy rain are analyzed, in which found that the echo power of fuze targets at center frequencies of 60 GHz , 118 GHz, and 184 GHz decreased by 2.5 dB, 1.8 dB, and 2.9 dB, respectively, and in heavy rain and the SNR decreased by 1.2 dB, 0.9 dB, and 1.3 dB, respectively. Results indicate that even in extreme heavy rain, the scattering and absorption of raindrops in the air do not qualitatively change the short range fuze target echo. However, they do reduce the SNR of the target echo, leading to a decrease in the probability of target detection by the fuze detection system. From no rain to heavy rain to extreme heavy rain, the SNR of the 60 GHz fuze echo is 15.7 dB, 14.4 dB, and 12.9 dB respectively. Based on the Neyman Pearson criterion, when the false alarm rate of the fuze detection system is 10ξ -7 , the target detection probabilities are 0.999 7, 0.986 9, and 0.852 1 respectively. The results show that the attenuation characteristics of rain particles and atmospheric molecules under extreme conditions significantly affect the target detection probability of the fuze. The modeling method for the effects of rain and atmospheric molecules on fuze detection can provide technical support for environmental adaptability assessment in fuze engineering design. |