宋丽君

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所属单位:信息与控制工程学院
发表刊物:Springer
关键字:中文关键字:联邦模糊自适应滤波;速度+角速度匹配;传递对准;模糊自适应滤波;联邦滤波,英文关键字:the Federated and Fuzzy Adaptive Filter; Velocity
摘要:The federated and fuzzy adaptive filter is composed of the federated filter and the fuzzy adaptive filter which has been improved. To adjust the structure coefficient and algorithm for the new innovation of the matching filter, the federated and fuzzy adaptive filter adjust the weight of locally estimated state on the velocity matching and the angular rate matching in the transfer alignment by the difference between the real innovation variance and the theory innovation variance. And it guarantees the stability of matching filter and the accuracy of transfer alignment. The result of simulation shows that the feder-ated and fuzzy adaptive filter is better to estimate the initial attitude misalign-ment angle of inertial navigation system (INS) when the system dynamic model and noise statistics characteristics of inertial navigation system are unclear.
备注:宋丽君
合写作者:ZongxingDuan,DengfengChen,JiwuSun,ShengjunXu
第一作者:宋丽君
论文类型:期刊论文
卷号:卷:
期号:期:
页面范围:页:91-100
是否译文:否
发表时间:2015-08-01