CAJ | 학술논문

在非线性、非高斯条件下进行动基座传递对准,如果采用卡尔曼滤波会出现误差较大甚至发散的问题.本文引入强跟踪自适应滤波器,建立对估计误差的一步预测方差P_(K/K-1)的加权算法,来达到抑制噪声的目的;同时,针对初始对准对准精度与快速性的要求,建立了动基座传递对准精确的非线性滤波模型.通过计算机仿真,模拟了飞机机动模式,验证所提滤波器的可行性.最后,通过与扩展卡尔曼滤波的比较,说明非线性强跟踪自适应滤波器在对准精度与速度上都有更好的表现.
재비선성、비고사조건하진행동기좌전체대준,여과채용잡이만려파회출현오차교대심지발산적문제.본문인입강근종자괄응려파기,건립대고계오차적일보예측방차P_(K/K-1)적가권산법,래체도억제조성적목적;동시,침대초시대준대준정도여쾌속성적요구,건립료동기좌전체대준정학적비선성려파모형.통과계산궤방진,모의료비궤궤동모식,험증소제려파기적가행성.최후,통과여확전잡이만려파적비교,설명비선성강근종자괄응려파기재대준정도여속도상도유경호적표현.
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence. To solve this problem, a nonlinear strong tracking adaptive Kalman filer (STAKF) is given, and a weighted algorithm which predict the error by one step predicted variance P_(K/K-1) is constructed. Meanwhile, an accurate nonlinear filter model for moving base alignment is built, which meets the requirements of alignment velocity and accuracy in air-to-air missiles. The simulation of aircraft's maneuvering model confirms the feasibility of the STAKF. In comparison with EKF, the nonlinear strong tracking adaptive Kalman filter could obtain higher alignment rapidity and accuracy.