Abstract
In this paper, an integrated detection and tracking (IDT) algorithm is developed for asynchronous moving radar network. The main idea of IDT is to adjust the threshold of each radar by utilizing the prior track information, while keeping the constant track false alarm rate property. The prior track information we utilized is the predicted distribution of the target location, which can be obtained through jointly estimate radar and target state. Simulation results show that the proposed IDT algorithm can improve the detection and tracking performance significantly, when compared with the existing works.
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Acknowledgements
This work is support by the National Natural Science Foundation of China (No. 61601340) and the fundamental Research Funds for the Central University (RC1901).
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Dai, J., Yan, J., Wang, P., Liu, H. (2020). Integrated Detection and Tracking in Asynchronous Moving Radar Network. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_113
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DOI: https://doi.org/10.1007/978-981-13-9409-6_113
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