基于多維指派算法的被動多目標(biāo)跟蹤方案
Passive Multitarget Tracking Based on Multidimensional Assignment Algorithm
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摘要: 該文針對無源測向交叉定位系統(tǒng)提出了基于多維指派算法的被動多目標(biāo)跟蹤方案。該方案是將三維空間的基準(zhǔn)線最小代價算法與動態(tài)2D指派算法相結(jié)合。該方案的特點(diǎn)是:三維空間的基準(zhǔn)線最小代價算法是一種快速數(shù)據(jù)關(guān)聯(lián)算法,它能夠快速削減候選關(guān)聯(lián)集合并簡化關(guān)聯(lián)代價的計(jì)算,完成航跡起始任務(wù);動態(tài)2D指派算法則能夠簡單而準(zhǔn)確地實(shí)現(xiàn)觀測與航跡的關(guān)聯(lián)。仿真結(jié)果證明該方案可以有效地完成無源測向交叉定位系統(tǒng)中的多目標(biāo)跟蹤任務(wù)。
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關(guān)鍵詞:
- 無源定位;多維指派算法;多目標(biāo)跟蹤
Abstract: A new multitarget tracking method based on multidimensional assignment algorithm is developed for passive DOA systems in the paper. The method combines 3D datum line least cost algorithm and dynamic 2D assignment algorithm. The key features of the proposed approach are as follows: First, 3D datum line least cost algorithm is a fast measure data association approach, which cuts candidate associations very fast and reduces the calculations of association costs and completes track initiation. Second, the associations of measurements and tracks are made by dynamic 2D assignment algorithm. Simulation results prove that the proposed algorithm is effective to multitarget tracking for passive DOA system. -
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