3 . based on the characteristic of the sensor distribution inside a platform , a sensor registration model for single - platform alignment is given . with the taylor series , we can get the first - order approximation of the registration model 根據(jù)平臺內(nèi)傳感器空間布局特點給出平臺級傳感器的配準(zhǔn)模型,并對配準(zhǔn)模型進行一階近似,最后通過kalman濾波算法求出系統(tǒng)偏差的估計。
2 . the conception of the platform alignment and system alignment is presented for multi - platform multi - sensor and multi - source information fusion with systematic temporal and spatial alignment based on the different spatial distributions between single - platform and multi - platforms . to do as this , we can deal with different problem with different alignment approaches , and it is propitious to solve the problem 針對單平臺和多平臺傳感器空間布局的不同特點,提出了多平臺多傳感器信息融合系統(tǒng)傳感器時空配準(zhǔn)的平臺級配準(zhǔn)和系統(tǒng)級配準(zhǔn)概念,使得我們在處理不同問題時采用不同的配準(zhǔn)方法,更有利于問題的解決。