自適應(yīng)加權(quán)質(zhì)心算法在高精度星點(diǎn)定位中的應(yīng)用
發(fā)布時(shí)間:2018-12-18 18:09
【摘要】:為實(shí)現(xiàn)空間飛行器在高目標(biāo)星等、像移和光學(xué)系統(tǒng)像差等因素影響下的高精度星點(diǎn)定位,提出了一種自適應(yīng)加權(quán)質(zhì)心細(xì)分定位算法;谧畲笏迫还烙(jì)推導(dǎo)、建立數(shù)學(xué)模型并進(jìn)行仿真實(shí)驗(yàn)。結(jié)果表明,與質(zhì)心法、加權(quán)質(zhì)心法及高斯擬合法等傳統(tǒng)星點(diǎn)定位算法相比,提出的算法定位精度提高了50%以上,且具有良好的收斂速度,經(jīng)過(guò)5次迭代后,質(zhì)心定位誤差相對(duì)較穩(wěn)定,可以滿(mǎn)足實(shí)際應(yīng)用中對(duì)實(shí)時(shí)性的要求。
[Abstract]:An adaptive weighted centroid subdivision localization algorithm is proposed to achieve high precision star location under the influence of high target magnitude, image shift and optical system aberration. Based on the derivation of maximum likelihood estimation, the mathematical model is established and the simulation experiment is carried out. The results show that compared with the traditional star location algorithms such as centroid method, weighted centroid method and Gao Si fitting method, the proposed algorithm can improve the accuracy of star location by more than 50%, and has a good convergence rate. After five iterations, the proposed algorithm has a good convergence rate. The centroid positioning error is relatively stable, which can meet the real-time requirements in practical applications.
【作者單位】: 中國(guó)科學(xué)院長(zhǎng)春光學(xué)精密機(jī)械與物理研究所;
【基金】:國(guó)家自然科學(xué)基金(61205143)
【分類(lèi)號(hào)】:V448.2
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本文編號(hào):2386274
[Abstract]:An adaptive weighted centroid subdivision localization algorithm is proposed to achieve high precision star location under the influence of high target magnitude, image shift and optical system aberration. Based on the derivation of maximum likelihood estimation, the mathematical model is established and the simulation experiment is carried out. The results show that compared with the traditional star location algorithms such as centroid method, weighted centroid method and Gao Si fitting method, the proposed algorithm can improve the accuracy of star location by more than 50%, and has a good convergence rate. After five iterations, the proposed algorithm has a good convergence rate. The centroid positioning error is relatively stable, which can meet the real-time requirements in practical applications.
【作者單位】: 中國(guó)科學(xué)院長(zhǎng)春光學(xué)精密機(jī)械與物理研究所;
【基金】:國(guó)家自然科學(xué)基金(61205143)
【分類(lèi)號(hào)】:V448.2
,
本文編號(hào):2386274
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