本文選題：分析精度 + 計(jì)算時(shí)間��； 參考：《大地測(cè)量與地球動(dòng)力學(xué)》2017年04期

【摘要】：針對(duì)總方差法在分析隨機(jī)誤差時(shí)計(jì)算時(shí)間較長(zhǎng)的問題,從Allan方差和完全重疊Allan方差入手,提出3種數(shù)據(jù)采樣方式,并在此基礎(chǔ)上構(gòu)造了半重疊總方差法。通過光纖陀螺慣組的靜態(tài)實(shí)驗(yàn)驗(yàn)證算法的有效性,結(jié)果表明,半重疊總方差法與總方差法分析精度一致,而運(yùn)算時(shí)間大為縮短。
[Abstract]:In order to solve the problem that the calculation time of total variance method is longer when analyzing random error, starting with Allan variance and completely overlapping Allan variance, three data sampling methods are proposed, and a semi-overlapping total variance method is constructed. The validity of the algorithm is verified by the static experiment of the fog inertial system. The results show that the semi-overlapping total variance method has the same accuracy as the total variance method and the calculation time is greatly shortened.
【作者單位】： 貴州工業(yè)職業(yè)技術(shù)學(xué)院電子與信息工程學(xué)院;貴陽護(hù)理職業(yè)學(xué)院信息中心;
【基金】：貴州省科技廳聯(lián)合基金(黔科合LH字【2015】7179號(hào))~~
【分類號(hào)】：P207.1
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本文編號(hào)：1833547