基于重力場特征參數(shù)信息熵的適配區(qū)選擇方法
發(fā)布時間:2018-06-21 14:33
本文選題:重力匹配導(dǎo)航 + 特征統(tǒng)計參數(shù)。 參考:《中國慣性技術(shù)學(xué)報》2016年06期
【摘要】:針對當(dāng)前重力統(tǒng)計特征參數(shù)類別繁多,選擇標(biāo)準(zhǔn)復(fù)雜而導(dǎo)致錯選有效匹配區(qū)域的問題,利用信息熵具有能夠整合多種統(tǒng)計參數(shù)且算法計算量小的特點(diǎn),提出了一種基于特征參數(shù)信息熵的重力輔助導(dǎo)航適配區(qū)的選擇方法。首先,在DTU10模型下將該方法與傳統(tǒng)單一特征參數(shù)的方法進(jìn)行比較,確定了傳統(tǒng)方法的確會錯誤選擇可匹配區(qū),從而也反映了所提出方法的優(yōu)越性;其次,在該方法劃分出的匹配區(qū)和非匹配區(qū)中分別設(shè)計了8條仿真航線,匹配區(qū)中仿真航線的匹配效果明顯優(yōu)于非匹配區(qū)中的匹配效果。仿真結(jié)果表明了該方法的有效性。
[Abstract]:Aiming at the problem that there are many kinds of characteristic parameters of gravity statistics, and the selection criteria are complex, which leads to the problem of misselecting effective matching region, the information entropy has the characteristics of integrating various statistical parameters and less computational complexity of the algorithm. In this paper, a method of selecting suitable areas for gravity aided navigation based on characteristic parameter information entropy is proposed. Firstly, by comparing this method with the traditional method of single characteristic parameter in DTU10 model, it is determined that the traditional method does misselect the matching region, which also reflects the superiority of the proposed method. Eight simulation routes are designed in the matching region and the mismatch area, respectively. The matching effect of the simulation route in the matching area is obviously better than that in the non-matching area. Simulation results show the effectiveness of the method.
【作者單位】: 信息工程大學(xué)地理空間信息學(xué)院;海軍海洋測繪研究所;
【基金】:國家自然科學(xué)基金項(xiàng)目(41474012) 國家重大科學(xué)儀器設(shè)備開發(fā)專項(xiàng)資助項(xiàng)目(2011YQ12004503) 國防973計劃資助項(xiàng)目(613219)
【分類號】:U675.7
【參考文獻(xiàn)】
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