本文選題：檢測(cè)前跟蹤　切入點(diǎn)：Hough變換　出處：《航空學(xué)報(bào)》2017年01期 　論文類(lèi)型：期刊論文

【摘要】：在低信噪比條件下,基于Hough變換的檢測(cè)前跟蹤算法是進(jìn)行強(qiáng)雜波背景下目標(biāo)航跡檢測(cè)的一種手段。本文針對(duì)Hough變換后一個(gè)目標(biāo)產(chǎn)生多條可能航跡以及航跡內(nèi)可能存在雜波點(diǎn)的問(wèn)題,提出了一種基于能量最大點(diǎn)和點(diǎn)集合并的修正Hough變換檢測(cè)前跟蹤算法。該算法利用量測(cè)點(diǎn)時(shí)序、能量信息及目標(biāo)速度先驗(yàn)信息對(duì)Hough變換后點(diǎn)跡進(jìn)行關(guān)聯(lián)和剔除,能夠有效的對(duì)目標(biāo)原始航跡進(jìn)行回溯。針對(duì)高斯噪聲背景下的飛行目標(biāo),仿真結(jié)果表明該算法能夠?qū)ξ⑷跄繕?biāo)進(jìn)行有效檢測(cè),在目標(biāo)數(shù)目、雜波密度、信噪比發(fā)生變化的條件下仍能保持較高的檢測(cè)概率。
[Abstract]:At low signal-to-noise ratio, The detection front tracking algorithm based on Hough transform is a method to detect the target track in the background of strong clutter. In this paper, there are many possible tracks and possible clutter points in a target after Hough transform. In this paper, a modified Hough transform pre-tracking algorithm based on the combination of maximum energy points and point sets is proposed, which uses time series, energy information and a prior information of target velocity to correlate and eliminate the points after Hough transform. The simulation results show that the algorithm can effectively detect the weak targets in the number of targets, the clutter density, the number of targets, the density of clutter, the number of targets, the number of targets, the density of clutter, the number of targets, the number of targets and the density of clutter. A high detection probability can be maintained when the SNR changes.
【作者單位】： 海軍航空工程學(xué)院信息融合研究所;
【基金】：國(guó)家自然科學(xué)基金(61372027,61501489,61671462)~~
【分類(lèi)號(hào)】：TP301.6

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本文編號(hào)：1558930