milemeter 中文意思是什麼
milemeter
解釋
里程計-
The thesis analyse the error and the feasibility of the system. because the precision of position and direction is related with the precision of the heading and the distance, the thesis discuss the method of obtaining the distance using milemeter, water milemeten engine ' s rotate speed and accelerometer, and the method of obtaining the heading using the combination of the gyrocompass and the digital compass. then the thesis introduce the details of the system realization, include the hardware and the software
由於航位推算的精度與航程和航向的精度直接相關，因此，論文討論了用里程計、水速表、引擎轉速或加速度計等獲取里程的方法，用航向保持器和數字磁羅盤組合的方法獲取航向角的方法（初始尋北由數字磁羅盤來完成） ，這為採用數據融合方法提高航程和航向精度打下了基礎。 -
Then this paper introduced the main method in multi - sensor integrated navigation - kalman filtering method, and a two - level optimization multi - sensor information fusion structure - combined filter which was originated by carlson and kerr, based on the structure of combined filter, it studied the method of navigating by the multi - sensor navigation system integrated by ins milemeter altimeter and piloting, then analyzed the effect of several filters. simulation proved that when altimeter were integrated, the height error was reduced a lot, and the combined filter is more effective than one - level kalman filter
然後，介紹了組合導航中的關鍵技術? ?卡爾曼濾波方法，以及一種二級最優多傳感器融合結構? ? carlson ， kerr等人提出的聯合濾波器，並以聯合濾波器的結構為基礎研究了車載捷聯慣導系統與里程計、氣壓高度計、地標組合導航的方法，比較了幾種組合方法的效果。模擬結果表明，引入氣壓高度計可以有效的減小高度誤差，二級聯合濾波器的效果優於一級結構的卡爾曼濾波器。 -
Because the ins error equation is unstable, some initial states error will cause error floating and error accumulating, if the filter observations were only position error, kalman filter will converge very slowly, and some states error ( such as yaw error ) will be great. since the milemeter altimeter and piloting could only output position information, this paper put forward a method, firstly estimateing states and then kalman filtering, to improve filtering effect. simulation proved that this method could effectively reduce the system states error, quicken filtering convergence and improve filtering precision
由於慣導系統（ lsins ）的誤差方程是發散的，某些初始狀態的誤差會引起誤差的漂移和積累，當觀測量只有位置誤差時，卡爾曼濾波的收斂速度很慢，某些狀態（如方位角）誤差很大，而以上除慣導外的其它導航傳感器直接提供的只是位置信息，為了改善濾波器性能，本文根據里程計等傳感器的特點，提出了首先對狀態做出估計，然後在狀態估計的基礎上，進行卡爾曼濾波的方法。
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