Abstract
This paper considers the coherent integration problem of detecting weak maneuvering targets in passive radar using digital television terrestrial broadcasting (DTTB) signals. By dividing the continuous DTTB echoes into multiple segments, the generalized Radon-Fourier transform (GRFT) which was proposed to realize coherent integration of maneuvering targets for pulse Doppler radar can be utilized in DTTB-based passive radar. The GRFT can obtain ideal coherent integration gain but suffers a heavy computational burden. In this paper, a fast implementation algorithm of GRFT using the modified wind driven optimization (MWDO) is proposed. Compared with the existing particle swarm optimization (PSO) method, the proposed method can achieve better detection performance with a similar computational cost in DTTB-based passive radar. Several numerical experiments are also provided to demonstrate the effectiveness of the proposed method.
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Acknowledgments
The work was supported by the National Natural Science Foundation of China (Grant no. 61201366), the Fundamental Research Funds for the Central Universities (Grant no. NS2016040), the Fundamental Research Funds for the Central Universities (Grant no. NJ20150020), and the Priority Academic Program Development of Jiangsu Higher Education Institutions.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, Y., Xia, W., Zhou, J., Huang, L., Huang, M. (2018). Coherent Integration Algorithm for Weak Maneuvering Target Detection in Passive Radar Using Digital TV Signals. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_25
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DOI: https://doi.org/10.1007/978-3-319-73447-7_25
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