建立在慣性原理基礎(chǔ)上的慣性導(dǎo)航系統(tǒng)不需要任何外來(lái)信息，也不會(huì)向外輻射任何信息，僅靠慣性導(dǎo)航系統(tǒng)本身就能全在天候條件下在全球范圍內(nèi)和任何介質(zhì)環(huán)境里自主地隱蔽地進(jìn)行連續(xù)的三維定位和定向；但它也存在誤差隨時(shí)間積累的缺點(diǎn)。而GPS 導(dǎo)航系統(tǒng)能提供長(zhǎng)時(shí)間的高精度定位；但存在1 HZ 慢速數(shù)據(jù)修正速率的缺陷。本文研究二者互補(bǔ)的組合導(dǎo)航系統(tǒng)，建立了組合導(dǎo)航的軟件和硬件模型，并提出了基于卡爾曼濾波的導(dǎo)航實(shí)現(xiàn)算法。
關(guān)鍵詞：GPS INS 組合導(dǎo)航 數(shù)據(jù)同步 卡爾曼濾波

Abstract: The navigation systems built on the principle of inertia on the basis of inertial do not require any external information, as well as any information not in a position to radiation alone inertial navigation system itself will be wholly under the weather conditions at the global level , and any independent media environment to covertly conduct continuous three-dimensional positioning and orientation, but it also exists flaw with the passage of time accumulated shortcomings. The GPS navigation system can provide long time precision positioning, but its existence 1HZ slow rate of data updating; the combination systems
more and more used in the navigation industry.
Key words: GPS INS Combined navigation Data synchronization