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DOA Estimation Based on Intelligent FMCW Radar with Triangle Array Antenna

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Communications and Networking (ChinaCom 2020)

Abstract

In this paper, we propose a target Direction of Arrival (DOA) estimation algorithm through the triangular array antenna to improve the perception accuracy of intelligent vehicular millimeter-wave radar. Firstly, we utilize Total Least Square- Estimation of Signal Parameters to obtain the solution set of target azimuth with the geometrical advantages of the triangular array. Subsequently, the preliminary optimal target azimuth can be derived based on the power spectrum function of the improved Multiple Signal Classification algorithm, which is used to estimate the DOA solution set. Finally, we could estimate the optimal azimuth parameters accurately through searching the preliminary optimal target azimuth. The proposed algorithm avoids a wide range of power spectrum search, and reduces the error of azimuth estimation. Compared with both TLS-ESPRIT and MMUSIC algorithm, the spatial resolution is further improved. The evaluation results indicate that the proposed algorithm reduces the root mean square error and the computational complexity, and meanwhile improves the target azimuth estimation accuracy.

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Acknowledgment

This work was supported by National Natural Science Foundation of China (61672209, 61701170), Science and technology development plan of Henan Province (192102210282, 202102210327).

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Correspondence to Guoping Jiang .

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Du, X., Jiang, G., Han, C., Wang, C., Zhou, Y. (2021). DOA Estimation Based on Intelligent FMCW Radar with Triangle Array Antenna. In: Gao, H., Fan, P., Wun, J., Xiaoping, X., Yu, J., Wang, Y. (eds) Communications and Networking. ChinaCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-030-67720-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-67720-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67719-0

  • Online ISBN: 978-3-030-67720-6

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