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基于自適應(yīng)融合的彈道目標(biāo)空間位置重構(gòu)

發(fā)布時(shí)間:2018-02-23 22:15

  本文關(guān)鍵詞: 進(jìn)動(dòng) Hough變換 融合 空間位置重構(gòu) 性能分析 出處:《北京航空航天大學(xué)學(xué)報(bào)》2017年06期  論文類型:期刊論文


【摘要】:由于進(jìn)動(dòng)錐體目標(biāo)參數(shù)存在耦合,單部雷達(dá)不易獲取同時(shí)參數(shù)估計(jì)誤差較大。針對(duì)這一問(wèn)題,提出了一種聯(lián)合多部雷達(dá)不同視角微動(dòng)信息進(jìn)行參數(shù)提取與融合的新方法。首先,對(duì)進(jìn)動(dòng)目標(biāo)進(jìn)行了建模和散射點(diǎn)距離像分析,并利用Hough變換實(shí)現(xiàn)了錐頂散射點(diǎn)的關(guān)聯(lián)。然后,聯(lián)立2部雷達(dá)的微動(dòng)信息作為求解單元來(lái)對(duì)耦合參數(shù)進(jìn)行解耦,求出相應(yīng)的參數(shù)。同時(shí)以進(jìn)動(dòng)角為例進(jìn)行了誤差方差分析,以融合后誤差方差最小為原則對(duì)權(quán)系數(shù)進(jìn)行了求解,并對(duì)其余參數(shù)進(jìn)行了相同的處理。最后,在一個(gè)進(jìn)動(dòng)周期內(nèi),根據(jù)求出的錐體頂點(diǎn)坐標(biāo)和錐旋軸矢量實(shí)現(xiàn)了錐體目標(biāo)空間位置的重構(gòu)。仿真結(jié)果表明該融合方法能夠提高參數(shù)精度并能對(duì)錐體空間位置進(jìn)行重構(gòu)。
[Abstract]:Because of the coupling of the parameters of the precession cone target, the single radar is difficult to obtain and the estimation error of the parameters is large. In order to solve this problem, a new method of parameter extraction and fusion based on the fretting information of different angles of view of multi-radar is proposed. The precession target is modeled and the range profile of scattering point is analyzed, and the cone-top scattering point is correlated by Hough transform. Then, the fretting information of the two radars is used as the solving unit to decouple the coupling parameters. The corresponding parameters are obtained. At the same time, the error variance analysis of precession angle is taken as an example, and the weight coefficient is solved on the principle of minimum error variance after fusion, and the other parameters are treated the same. Finally, in a precession period, According to the calculated coordinates of cone vertex and the vector of cone axis, the reconstruction of the space position of conical object is realized. The simulation results show that the fusion method can improve the precision of parameters and reconstruct the space position of cone.
【作者單位】: 空軍工程大學(xué)防空反導(dǎo)學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(61372166,61501495)~~
【分類號(hào)】:TN957.51

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2 艾小鋒;李永禎;趙鋒;肖順平;;基于多視角一維距離像序列的進(jìn)動(dòng)目標(biāo)特征提取[J];電子與信息學(xué)報(bào);2011年12期

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