CAJ | 학술논문

随着低空超低空突袭兵器技术的不断发展,防空导弹引信面临着越来越强的地海杂波的干扰.基于统计理论的传统信号检测很难从强地海杂波中把微弱目标信号检测出来.以相空间重构理论为基础,提出了基于神经网络的混沌时间序列建模与预测方法,探讨了相空间重构技术在引信信号检测中的应用.通过理论分析和实测杂波数据仿真,表明了该方法不需建立统计模型.适合在防空导弹引信系统中应用,能够有效地提高引信检测微弱信号的能力,为强杂波环境下的微弱信号检测提供了一个新方法.
수착저공초저공돌습병기기술적불단발전,방공도탄인신면림착월래월강적지해잡파적간우.기우통계이론적전통신호검측흔난종강지해잡파중파미약목표신호검측출래.이상공간중구이론위기출,제출료기우신경망락적혼돈시간서렬건모여예측방법,탐토료상공간중구기술재인신신호검측중적응용.통과이론분석화실측잡파수거방진,표명료해방법불수건립통계모형.괄합재방공도탄인신계통중응용,능구유효지제고인신검측미약신호적능력,위강잡파배경하적미약신호검측제공료일개신방법.
With the continuous development of technology of low-level/hedgehopping attack weapons, air-de-fense missile fuze is facing more and more strong ground and sea clutter interference. It is very difficult for con-ventional signal detection which is based on the statistical theory to detect weak target signal from the strong clutter/sea interference. According to theory of phase-space reconstruction,a modeling and forecasting technique based on neural network for chaotic time series is proposed. The application of phase-space reconstruction tech-nology to fuze signal detection is investigated. Theoretical analysis and real data simulation show that this meth-od which does not need a statistical model is applicable to air-defense missile fuze system; it can effectively im-prove the ability of weak signal detection,providing a new method for the weak signal detection under the strong clutter environment.