现代导航
現代導航
현대도항
MODERN NAVIGATION
2013年
1期
37-40
,共4页
SINS%精对准%参数辨识%卡尔曼滤波
SINS%精對準%參數辨識%卡爾曼濾波
SINS%정대준%삼수변식%잡이만려파
SINS%Fine Alignment%Parameter Identification%Kalman Filtering
为了研究微幅晃动状态下车载 SINS初始对准技术,本文利用导航计算机采集惯性测量组件输出的比力和角增量信号,在载车初始粗对准之后,分别采用卡尔曼滤波法和参数辨识法完成精对准实验,结果表明在粗对准算法相同、精对准时间相等的情况下,卡尔曼滤波精对准比参数辨识精对准能够获得更好的对准精度,对于工程应用具有一定的参考价值.
為瞭研究微幅晃動狀態下車載 SINS初始對準技術,本文利用導航計算機採集慣性測量組件輸齣的比力和角增量信號,在載車初始粗對準之後,分彆採用卡爾曼濾波法和參數辨識法完成精對準實驗,結果錶明在粗對準算法相同、精對準時間相等的情況下,卡爾曼濾波精對準比參數辨識精對準能夠穫得更好的對準精度,對于工程應用具有一定的參攷價值.
위료연구미폭황동상태하차재 SINS초시대준기술,본문이용도항계산궤채집관성측량조건수출적비력화각증량신호,재재차초시조대준지후,분별채용잡이만려파법화삼수변식법완성정대준실험,결과표명재조대준산법상동、정대준시간상등적정황하,잡이만려파정대준비삼수변식정대준능구획득경호적대준정도,대우공정응용구유일정적삼고개치.
In order to study the vehicular SINS Initial alignment techniques for rocking base with small amplitude,a navigation computer is used to collect the force and angular increment signals output from the inertial measurement unit. After the initial coarse alignment, fine alignment experiments are implemented by use of Kalman filtering method and parameter identification method respectively. The results show that the former method is used to obtain the alignment accuracy better than the latter by using same coarse alignment method and the same fine alignment time. It has a reference value to engineering application.