本文關(guān)鍵詞：基于時(shí)差定位算法的空間三站跟蹤海洋動(dòng)目標(biāo)方法研究　出處：《全球定位系統(tǒng)》2015年06期 　論文類型：期刊論文

  更多相關(guān)文章： 三站定位 卡爾曼濾波 單路時(shí)差跟蹤 SR-UKF濾波算法

【摘要】：研究了運(yùn)動(dòng)三站對(duì)海洋移動(dòng)目標(biāo)多次定位的跟蹤濾波問(wèn)題,給出基于卡爾曼濾波(KF)的定位點(diǎn)跟蹤算法和基于平方根-非線性卡爾曼濾波(SR-UKF)的單/雙時(shí)差跟蹤算法,對(duì)于影響濾波效果的初始定位點(diǎn)和初始協(xié)方差陣,給出了計(jì)算方法,最后通過(guò)仿真驗(yàn)證了時(shí)差殘缺(單時(shí)差)的觀測(cè)條件下,SR-UKF跟蹤方法更優(yōu)。
[Abstract]:In this paper, the problem of tracking and filtering the multi-location of moving targets in three moving stations is studied. The positioning point tracking algorithm based on Kalman filter (KF) and the single / double time difference tracking algorithm based on square root nonlinear Kalman filter SR-UKF are presented. For the initial positioning point and the initial covariance matrix which affect the filtering effect, the calculation method is given. Finally, the simulation results show that the SR-UKF tracking method is better under the condition of incomplete time difference (single time difference) observation.
【作者單位】： 61541部隊(duì);
【分類號(hào)】：TN953
【正文快照】： 0引言三站定位系統(tǒng)對(duì)動(dòng)目標(biāo)跟蹤最直接有效的方法是依據(jù)定位點(diǎn)進(jìn)行卡爾曼濾波[1](KF),在實(shí)際應(yīng)用中由于雷達(dá)自身轉(zhuǎn)動(dòng)或衛(wèi)星位置等原因,常會(huì)出現(xiàn)只觀測(cè)到一路時(shí)差的情況,由于無(wú)法用于實(shí)時(shí)定位,工程上大多將此類數(shù)據(jù)作丟棄處理。為了充分利用時(shí)差數(shù)據(jù)信息,本文建立了運(yùn)動(dòng)三站定，

本文編號(hào)：1358902