CAJ | 학술논문

借鉴对机动频率建模的思想，对机动目标的截断正态概率密度模型进行改进，提出了一种改进的截断正态概率密度模型（ICN模型），并将防发散算法与多尺度估计理论结合，用克服滤波器发散的S（k）算法对基本的多尺度估计进行机动检测和相应改进，得到单模型单传感器系统的防发散多尺度估计算法，旨在减小噪声影响，减小机动目标模型不准确带来的跟踪误差，改善跟踪效果。
차감대궤동빈솔건모적사상，대궤동목표적절단정태개솔밀도모형진행개진，제출료일충개진적절단정태개솔밀도모형（ICN모형），병장방발산산법여다척도고계이론결합，용극복려파기발산적S（k）산법대기본적다척도고계진행궤동검측화상응개진，득도단모형단전감기계통적방발산다척도고계산법，지재감소조성영향，감소궤동목표모형불준학대래적근종오차，개선근종효과。
An improved cutting?off normal probability density model ( ICN model) is proposed, referred to the idea of mod?eling of maneuvering frequency, and the cutting?off normal probability density model of maneuvering target been improved. On the basis of this, the anti?divergent multi?scale estimation algorithm of single model and sensor system is received in order to reduce the influence of noise and the tracking error of maneuvering target model inaccuracy and improve the tracking per?formance, the anti?divergent algorithm and the multi?scale estimation theory been combined and S( k) algorithm for overco?ming the filter?divergence been used to make maneuvering detection and the corresponding improvement of the basic multi?scale estimation.