Abstract
Locating enemy targets via their electromagnetic radiation signal is vital to block and attack the enemy targets at an earlier stage. Traditional electromagnetic radiation source localization methods in literature are essentially geometric methods. Although they are simple and intuitive, they might fail to locate the source due to measurement noise. This paper proposes a novel electromagnetic radiation source localization method based on dynamic data driven simulations. In the proposed approach, we first model the spatial propagation process of the electromagnetic radiation signal emitted from the target, and then we assume a proper model for the noisy measurements. Based on the signal propagation model and the measurement model, the particle filter is employed to estimate the target position, and in the process addresses measurement and modeling errors. Identical-twin experiment is conducted to test and validate the proposed approach. The simulation results show that the proposed method can accurately locate the electromagnetic radiation source, and is robust to errors both in the model and in the data.
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Acknowledgments
This research is supported by the National Natural Science Fund of China (Grant No. 62103428) and the Natural Science Fund of Hunan Province (Grant No. 2021JJ40702).
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Xie, X., Ma, Y. (2022). A Novel Electromagnetic Radiation Source Localization Method Based on Dynamic Data Driven Simulations. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_28
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DOI: https://doi.org/10.1007/978-981-19-9195-0_28
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