Abstract
Conventional direction finding algorithms for wideband signal need to preliminarily estimate the Direction of Arrival (DOA) and power of the noise roughly, and it has large focusing error. In order to solve these problems, a super-resolution direction finding algorithm for two dimensional (2-D) wideband chirp signals is proposed, the Fractional Fourier Transform (FRFT) is applied to focus the energy of the signals in every frequency by the rotational characteristic of FRFT, then algorithm for narrowband signals is used to estimate the DOA, computer simulation results prove the effective of the algorithm.
This work was supported by the National Natural Science Foundation of China under Grant 61501176, Natural Science Foundation of Heilongjiang Province F2018025, University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province UNPYSCT-2016017, the postdoctoral scientific research developmental fund of Heilongjiang Province in 2017 LBH-Q17149.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Guo, B., Zhen, J. (2019). Two-Dimensional Super-Resolution Direction Finding Algorithm for Wideband Chirp Signals. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_17
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DOI: https://doi.org/10.1007/978-3-030-19086-6_17
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