發(fā)布時間：2018-09-17 16:55

【摘要】：目標跟蹤問題在國防領(lǐng)域,如雷達對飛機、輪船和導彈等機動軍事目標的精確探測和定位很大程度上決定了戰(zhàn)爭武器的有效性。針對點目標和擴展目標同時存在的特殊情況,提出基于隨機集的點目標和擴展目標聯(lián)合跟蹤算法。該算法探索基于隨機有限集的擴展目標濾波器對于點目標跟蹤的不足,并嘗試通過放寬約束條件的方式對其進行改進。仿真結(jié)果表明,在點目標和擴展目標同時存在的情況下,所提算法相比于已有基于隨機集理論的擴展目標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】： 空軍工程大學防空反導學院;
【基金】：國家自然科學基金青年基金資助項目(61501495)
【分類號】：E919;TN713

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