本文選題：星敏感器 + 星圖識別��； 參考：《光學精密工程》2017年01期

【摘要】：針對傳統(tǒng)三角形星圖識別算法的不足,本文提出了一種不依賴星等信息的全天球自主快速三角形識別算法。通過構(gòu)建三角形最大內(nèi)角及其兩邊作為匹配特征三角形,建立了全天球?qū)Ш教卣鲙?對生成的特征庫按最大內(nèi)角值構(gòu)造散列函數(shù),并分塊存儲。識別過程中,采用"邊-角-邊"原理進行匹配。首先,根據(jù)最大內(nèi)角的觀測值實現(xiàn)子塊的快速定位,然后,在子塊中對觀測三角形的兩邊進行星角距快速匹配,縮小了角距匹配的范圍,提高了識別速度。試驗表明,星點位置噪聲低于2個像元時,識別率優(yōu)于98.08%;觀測星數(shù)等于10顆,特征庫分塊總數(shù)為1 024時,平均識別時間為13.1ms。與現(xiàn)有三角形識別算法相比,該算法在識別速度、識別率及抗星等噪聲能力等方面具有明顯優(yōu)勢。
[Abstract]:In order to overcome the shortcomings of the traditional star map recognition algorithm, this paper proposes a fast and autonomous triangle recognition algorithm for the whole celestial sphere, which does not depend on star information. By constructing the maximum inner angle of the triangle and its two sides as matching characteristic triangles, the all-day spherical navigation feature library is established. The hash function of the generated feature library is constructed according to the maximum inner angle value, and stored in blocks. In the process of recognition, the principle of "edge-angle-edge" is used to match. Firstly, the fast location of the sub-block is realized according to the observation value of the maximum inner angle, and then the star-angle distance between the two sides of the observation triangle is quickly matched in the sub-block, which reduces the range of the angular distance matching and improves the recognition speed. The experimental results show that the recognition rate is better than 98.08 when the star position noise is less than 2 pixels, the number of observation stars is equal to 10, the total number of feature blocks is 1 024, and the average recognition time is 13.1 Ms. Compared with the existing triangle recognition algorithm, this algorithm has obvious advantages in recognition speed, recognition rate and the ability to resist star noise.
【作者單位】： 中國衛(wèi)星海上測控部;飛行器海上測量與控制聯(lián)合實驗室;中國科學院長春光學精密機械與物理研究所;吉林大學生物與農(nóng)業(yè)工程學院;
【基金】：航天科學基金資助項目(No.2011-JS-000675)
【分類號】：V448.2;TP391.41

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