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A Bistatic MIMO Radar Angle Estimation Method for Coherent Sources in Impulse Noise Background

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Abstract

In order to solve the angle estimation problem of coherent sources in the impulse noise background, an algorithm based on infinite norm normalization preprocessing and sparse representation (INN-SR) is proposed. First, an infinite norm normalization preprocessing method is used to reduce the impact of the impact noise. Then the sparse decomposition method is used to construct the restoration dictionary to estimate the DOA and DOD. Finally, accurate matching of target DOA and DOD is achieved based on maximum likelihood method. The algorithm does not need to know the number of sources and can also work well for coherent sources.

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Data Availability Statement

The data in this paper are mainly some actual measurement impulse noise data. The interference data used to support the findings of this study are available from the corresponding author upon request.

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Funding

This work was supported by the China Postdoctoral Science Foundation under Grant no. 2019M662257 and the Aeronautical Science Foundation of China under Grant no. 201901096002.

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Jian Gong proposed the basic flow of the INN-SR algorithm. Yiduo Guo established the echo model of bistatic MIMO radar. Jian Gong and Yiduo Guo verified the performance of proposed algorithm by simulation experiment results. Jian Gong drafted the manuscript and made repeated critical revisions. Both authors read and approved the final manuscript.

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Correspondence to Yiduo Guo.

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No potential conflict of interest was reported by the authors.

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Gong, J., Guo, Y. A Bistatic MIMO Radar Angle Estimation Method for Coherent Sources in Impulse Noise Background. Wireless Pers Commun 116, 3567–3576 (2021). https://doi.org/10.1007/s11277-020-07865-3

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