中圖分類號(hào)： TN953,；TN957.51 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.223088 中文引用格式： 龍威宇,，蔡益朝，李浩,，等. 一種基于不確定分布的多目標(biāo)航跡關(guān)聯(lián)模型及求解[J].電子技術(shù)應(yīng)用,，2022，48(8)：13-18,，23. 英文引用格式： Long Weiyu,，Cai Yichao，Li Hao,，et al. A multi-objective track association method based on uncertainty distribution and its solution[J]. Application of Electronic Technique,，2022，48(8)：13-18,，23.
A multi-objective track association method based on uncertainty distribution and its solution
Long Weiyu,，Cai Yichao，Li Hao,，Qiu Jianjie
Air Force Early Warning Academy,，Wuhan 430014，China
Abstract： The noise and interference are usually described by Gaussian distribution in the traditional track association model, while the massive use of electronic equipment makes the battlefield electromagnetic environment more and more complex. To address this problem, this paper proposes a multi-target trajectory association model based on uncertainty distribution, by introducing uncertainty distribution function to describe the noise and interference in the trajectory association process, so that the model is more in line with the real situation on the battlefield, constructs a multi-target trajectory association process in the case of dual sensors, and uses classical algorithms to simulate and verify different numbers of targets. The results show that the model proposed in this paper outperforms the traditional model under the same conditions and can bring improvement in the association accuracy.
Key words : track correlation；multi sensor,；uncertainty theory,；uncertainty distribution
