【摘要】：對(duì)低慢小目標(biāo)的探測(cè),當(dāng)前雷達(dá)光電協(xié)同跟蹤算法存在較大缺陷,特別是當(dāng)目標(biāo)發(fā)生強(qiáng)機(jī)動(dòng)時(shí),協(xié)同跟蹤精度大大降低,主要原因是雷達(dá)給出的距離預(yù)報(bào)精度較差。針對(duì)低慢小目標(biāo),首先提出了雷達(dá)光電協(xié)同跟蹤流程,然后給出了基于雷達(dá)光電數(shù)據(jù)的距離解耦算法,為光電設(shè)備提供高精度的距離信息,最后采用基于IMM-BLUE序貫集中式融合算法,有效地提高了雷達(dá)光電協(xié)同跟蹤的精度和數(shù)據(jù)率,同時(shí)該算法給出了目標(biāo)的高度,為低慢小目標(biāo)的打擊,提供高質(zhì)量引導(dǎo)數(shù)據(jù)。
[Abstract]:For the detection of low slow and small targets, the current radar photoelectricity cooperative tracking algorithm has great defects, especially when the target has strong maneuvering, the cooperative tracking accuracy is greatly reduced, the main reason is that the range prediction accuracy of radar is poor. For the low slow target, the radar photoelectricity cooperative tracking flow is proposed, and then the range decoupling algorithm based on the radar photoelectric data is presented, which provides high precision range information for the photoelectric equipment. Finally, the Sequential centralized fusion algorithm based on IMM-BLUE is used to effectively improve the accuracy and data rate of radar photoelectricity cooperative tracking. At the same time, the algorithm gives the height of the target, which can provide high quality guiding data for the attack of low slow small target.
【作者單位】： 中國(guó)電子科技集團(tuán)公司第三十八研究所;智能情報(bào)處理重點(diǎn)實(shí)驗(yàn)室;孔徑陣列與空間探測(cè)安徽省重點(diǎn)實(shí)驗(yàn)室;棗莊科技職業(yè)學(xué)院;
【分類號(hào)】：TN953

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