發(fā)布時(shí)間：2018-09-17 16:55

【摘要】：目標(biāo)跟蹤問(wèn)題在國(guó)防領(lǐng)域,如雷達(dá)對(duì)飛機(jī)、輪船和導(dǎo)彈等機(jī)動(dòng)軍事目標(biāo)的精確探測(cè)和定位很大程度上決定了戰(zhàn)爭(zhēng)武器的有效性。針對(duì)點(diǎn)目標(biāo)和擴(kuò)展目標(biāo)同時(shí)存在的特殊情況,提出基于隨機(jī)集的點(diǎn)目標(biāo)和擴(kuò)展目標(biāo)聯(lián)合跟蹤算法。該算法探索基于隨機(jī)有限集的擴(kuò)展目標(biāo)濾波器對(duì)于點(diǎn)目標(biāo)跟蹤的不足,并嘗試通過(guò)放寬約束條件的方式對(duì)其進(jìn)行改進(jìn)。仿真結(jié)果表明,在點(diǎn)目標(biāo)和擴(kuò)展目標(biāo)同時(shí)存在的情況下,所提算法相比于已有基于隨機(jī)集理論的擴(kuò)展目標(biāo)跟蹤算法具有更好的魯棒性。
[Abstract]:The target tracking problem in the field of national defense, such as radar accurate detection and positioning of mobile military targets such as aircraft, ships and missiles, to a large extent determines the effectiveness of war weapons. A joint tracking algorithm based on random set for point and extended targets is proposed for the special case where both point targets and extended targets exist at the same time. The algorithm explores the shortcomings of the extended target filter based on random finite sets for point target tracking and attempts to improve it by loosening the constraints. Simulation results show that the proposed algorithm is more robust than the existing extended target tracking algorithm based on random set theory.
【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)基金青年基金資助項(xiàng)目(61501495)
【分類號(hào)】：E919;TN713

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