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作 者:刘海明 贺伟 LIU Haiming;HE Wei(School of Communication and Information Engineering,Xi'an University of Posts and Telecommunications,Xi'an 710100,China)
机构地区:[1]西安邮电大学通信与信息工程学院,陕西西安710100
出 处:《探测与控制学报》2023年第1期29-37,共9页Journal of Detection & Control
摘 要:在云雾环境中,粒子会对激光进行散射和吸收,使引信回波信号受到很强的干扰,目标信号难以提取和识别,这给激光引信在设定距离处准确输出起爆信号造成了一定的困难。针对这一问题基于蒙特卡洛仿真方法建立了云雾环境下调频连续波激光引信的多次散射模型。该模型模拟了光子的多径传播和多次散射;同时,利用幅度平方相干(MSC)算法实现调频连续波(FMCW)激光引信的精确定距,并和快速傅里叶变换(FFT)算法处理结果进行对比。仿真结果表明,MSC算法在云雾环境中有良好的抗干扰能力,识别目标的正确率要高于FFT算法。该算法为FMCW激光引信抗云雾干扰提供了一种新方法。In the cloudy environment,the particles will scatter and absorb the laser,so that the fuze echo signal is subject to strong interference and the target signal is difficult to extract and identify,which causes some difficulties for the laser fuze to accurately output the detonation signal at the set distance.In this paper,a multiple scattering model of frequency modulated continuous wave(FMCW)laser fuze in cloudy environment was established based on Monte Carlo simulation method.The model simulated the multipath propagation and multiple scattering of photons.Meanwhile,the magnitude-square coherence(MSC)algorithm was used to achieve accurate ranging of FMCW laser fuzes and compared with the fast Fourier transform(FFT)algorithm.The simulation results showed that the MSC algorithm had good anti-interference ability in the cloudy environment and the correct rate of identiftiaopinlying the target was higher than that of the FFT algorithm.
关 键 词:FMCW激光引信 多次散射 云雾干扰 MSC算法
分 类 号:TJ434.2[兵器科学与技术—火炮、自动武器与弹药工程]
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