Threat Assessment Based Sensor Control for Multi-target Tracking

Hui CHEN; Zhongliang HE; Feng LIAN; Chen LI

doi:10.11999/JEIT180212

Volume 40 Issue 12

Nov. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(12): 2861-2867

Hui CHEN, Zhongliang HE, Feng LIAN, Chen LI. Threat Assessment Based Sensor Control for Multi-target Tracking[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2861-2867. doi: 10.11999/JEIT180212

Citation:

Hui CHEN, Zhongliang HE, Feng LIAN, Chen LI. Threat Assessment Based Sensor Control for Multi-target Tracking[J]. Journal of Electronics & Information Technology, 2018, 40(12): 2861-2867. doi: 10.11999/JEIT180212

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Threat Assessment Based Sensor Control for Multi-target Tracking

doi: 10.11999/JEIT180212

1.
School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2.
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
3.
School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Funds: The National Natural Science Foundation of China ( 61873116, 61370037, 61763029), The Gansu Provincial Science and Technology Planning (18YF1GA065, 18JR3RA137)

Received Date: 2018-03-05
Rev Recd Date: 2018-08-13

Available Online: 2018-08-23

Publish Date: 2018-12-01

Abstract

Abstract

This paper proposes a threat assessment based sensor control by using multi-target filter with random finite set. First, the general sensor control approach based on information theory is presented in the framework of Partially Observable Markov Decision Process (POMDP). Meanwhile, combined with target movement situation, the factors that affect the target threat degree are analyzed. Then, the multi-target state is estimated based on the particle multi-target filter, the multi-target threat level is established according to the multi-target motion situation, and the maximum threat target distribution characteristic is analyzed and extracted from the multi-target distribution characteristic. Finally, the Rényi divergence is used as the evaluation index in sensor control, and the final control policy is solved with the maximum information gain as the criterion. The simulation results verify the feasibility and effectiveness of the proposed method.
- Multi-target tracking,
- Target threat degree,
- Tactical significance map,
- Sensor control,
- Partially Observable Markov Decision Process (POMDP)

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References(16)

References

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