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| Multi-Target Track Association Model Based on Uncertain Noise Distribution |
| QIU Jianjie， CAI Yichao， LI Hao， LONG Weiyu， HAN Yu |
| To resolve the noise description in the traditional track correlation model is too ideal, thus a new multi-target track correlation model was proposed in this paper. The model utilized the uncertainty log-normal distribution from uncertainty theory to describe the track correlation noise. Taking a uniformly accelerated linear moving target as a case study, its motion equation and observation equation were re-constructed before the tracking filtering process was derived. To further verify the effectiveness and robustness of the proposed model, mixed noise was adopted to simulate various noises in a complex electromagnetic environment and verification under different noise environments, correlation algorithms, and target numbers was conducted. The results show that the model proposed has achieved better correlation accuracy and robustness. |
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Abstract To resolve the noise description in the traditional track correlation model is too ideal, thus a new multi-target track correlation model was proposed in this paper. The model utilized the uncertainty log-normal distribution from uncertainty theory to describe the track correlation noise. Taking a uniformly accelerated linear moving target as a case study, its motion equation and observation equation were re-constructed before the tracking filtering process was derived. To further verify the effectiveness and robustness of the proposed model, mixed noise was adopted to simulate various noises in a complex electromagnetic environment and verification under different noise environments, correlation algorithms, and target numbers was conducted. The results show that the model proposed has achieved better correlation accuracy and robustness.
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Received: 23 February 2023
Published: 28 September 2023
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| [1] |
GU Yixiu, LI Jun, QIU Lingcun, CAO Zheng. A Track Association Algorithm of Radar and ESM Based on Type B Grey Correlation[J]. Air & Space Defense, 2019, 2(4): 46-50. |
| [2] |
MENG Xiangfei,WANG Ying,LI Chao,QI Yao,SUN Yun. Central Limit Theorems Proving for Independent and Non-Identically
Distributed Uncertain Variables and Its Application[J]. Journal of Shanghai Jiaotong University, 2019, 53(10): 1230-1237. |
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2023, Vol. 6 
