CAJ | 학술논문

为了使激光预警系统可以实时、精确地捕获来袭激光的特征信息，降低虚警与漏警的发生，提高系统的信噪比成为研究的重点。为了准确判断来袭激光的光谱信息，针对不合作激光信号而言，提高信噪比的方法就集中的体现在采用信息技术对各种噪声、干扰的抑制和消除等方法上。设计了基于多尺度小波分解及错误假设检验算法的信噪比优化模型。根据小波降噪原理，对来袭激光信号做多尺度分解，再采用错误假设检验算法完成了小波降噪系数的阈值选取。实验结果显示，采用该种技术降噪后系统信噪比提高到64.22 dB，其相应的波长分辨率为2 nm，相比没有滤波和仅用传统滤波算法的实验数据，有了明显的改观，系统抗干扰能力显著增强。
위료사격광예경계통가이실시、정학지포획래습격광적특정신식，강저허경여루경적발생，제고계통적신조비성위연구적중점。위료준학판단래습격광적광보신식，침대불합작격광신호이언，제고신조비적방법취집중적체현재채용신식기술대각충조성、간우적억제화소제등방법상。설계료기우다척도소파분해급착오가설검험산법적신조비우화모형。근거소파강조원리，대래습격광신호주다척도분해，재채용착오가설검험산법완성료소파강조계수적역치선취。실험결과현시，채용해충기술강조후계통신조비제고도64.22 dB，기상응적파장분변솔위2 nm，상비몰유려파화부용전통려파산법적실험수거，유료명현적개관，계통항간우능력현저증강。
In order to make the laser warning system with real-time,accurately capture the characteristic information of the incoming laser,minimizes false alarm and missed alarm occurred, improving the signal-to-noise ratio of the system become the focus of the study. In order to accurately determine the spectral information of the incoming laser,to uncooperative laser signal,improved the signal-to-noise ratio is reflected in the use of information technology for all kinds of noise,interference suppression and elimination methods. Designed optimization model based on multi-scale wavelet decomposition and signal-to-noise ratio of the error hypothesis testing algorithm. According to the principle of wavelet noise reduction, incoming laser signal with multi-scale decomposition, FDR(False Discovery Rate) algorithm to complete the wavelet noise reduction coefficient threshold. Experimental results show that, used by the technical noise reduction system signal-to-noise ratio improved to 64.22 dB. The corresponding wavelength resolution of 2 nm,filtering and only traditional filtering algorithm compared to experimental data,has been significantly improved,significantly enhanced anti-jamming capability.