CAJ | 학술논문

多基准一致性检测中的B值处理是卫星着陆系统完好性监测的核心，针对传统基于极大似然估计准则的B值处理算法存在相关性，易造成系统故障检测率低以及难以区分故障来源的问题，研究了基于Kalman滤波的B值处理新算法：通过建立以监测接收机修正伪距值为观测量，星站距离估计值为状态量的滤波模型，计算得到监测接收机修正后的伪距误差，然后利用其构造新的B值；理论分析与试验结果表明，相比于传统算法，新的B值处理算法可以消除相关性的影响，故障检测率提高近20%，增强了系统的可用性水平。
다기준일치성검측중적B치처리시위성착륙계통완호성감측적핵심，침대전통기우겁대사연고계준칙적B치처리산법존재상관성，역조성계통고장검측솔저이급난이구분고장래원적문제，연구료기우Kalman려파적B치처리신산법：통과건립이감측접수궤수정위거치위관측량，성참거리고계치위상태량적려파모형，계산득도감측접수궤수정후적위거오차，연후이용기구조신적B치；이론분석여시험결과표명，상비우전통산법，신적B치처리산법가이소제상관성적영향，고장검측솔제고근20%，증강료계통적가용성수평。
B??values processing algorithms is the core of GNSS landing system.In multiple reference consis-tency check,the rule of maximum likelihood estimation is used in traditional processing method of B??val-ues,so some correlativity exists in the traditional B??values process,which is easy to cause the problems such as the difficulties in distinguishing between fault sources,the low fault detection rate.To solve these problems,this paper studies the B??values processing method based on Kalman filter.And the use of the new processing method can improve the performance of the system through the establishment of filter model.Experiments are done and the results show that the new processing method based on Kalman filter is very effective in fault detection,and the use of the method enhances system availability level.In the end, the fault detection rate is increased by nearly 20%.