CAJ | 학술논문

为了提高晃动载体的初始对准精度，分别采用了卡尔曼滤波法和 H∞滤波法。高斯白噪声和随机晃动的条件下进行两种算法的仿真研究，结果表明，高斯白噪声条件下，两者的滤波效果都很好，但在加入基座周期性晃动时，卡尔曼滤波出现了明显的发散现象，H∞滤波表现出了更好的稳定性。
위료제고황동재체적초시대준정도，분별채용료잡이만려파법화 H∞려파법。고사백조성화수궤황동적조건하진행량충산법적방진연구，결과표명，고사백조성조건하，량자적려파효과도흔호，단재가입기좌주기성황동시，잡이만려파출현료명현적발산현상，H∞려파표현출료경호적은정성。
Both Kalman Filter and H ∞ Filter are applied to improve the initial alignment accuracy .The two filters are simulated under conditions of white Gaussian noise and periodic rocking base respectively .The results show that both filters work well under white Gaussian noise but there is a obvious divergence phenomenon in Kalman Filter w hile H ∞ Filter remains stable w hen periodic rocking base noise is added .