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A Passive Direction Finding Algorithm Based on Baselines Selected from Phased Array

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Wireless and Satellite Systems (WiSATS 2019)

Abstract

In view of the increasing scale and poor concealment of existing electronic reconnaissance satellites, this paper proposes a passive direction finding algorithm based on baseline selection of communication load phased array. The algorithm performs direction finding by selecting part of array elements in the phased array to form a two-dimensional interferometer. Then the direction finding result of interferometer is used as the basis to determine the spatial domain search range of the MUSIC algorithm. Finally the fast and high precision estimation of elevation angle and azimuth angle is completed by MUSIC algorithm. The algorithm can realize fast and high-precision direction finding under communication concealment. At the same time, multi-scale direction finding results can guide the beamforming of phased array and enhance the communication. This algorithm provides a new solution for the integrated payload of miniaturized concealed electronic reconnaissance and communication.

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Acknowledgments

This work was partly supported by National Nature Science Foundation Program of China (No. 61601295), Shanghai Sailing Program (16YF1411000), National Key R&D Program of China (2017YFB0502902) and Autonomous Deployment Program of IAMC (ZZBS17DZ01).

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Correspondence to Jingtao Ma .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ma, J., Sun, S., Liang, G., Lv, S., Jiang, X. (2019). A Passive Direction Finding Algorithm Based on Baselines Selected from Phased Array. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_55

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  • DOI: https://doi.org/10.1007/978-3-030-19156-6_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19155-9

  • Online ISBN: 978-3-030-19156-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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