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Features of Multi-target Detection Algorithm for Automotive FMCW Radar

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2019, ruSMART 2019)

Abstract

An algorithm is considered for estimating speeds and distances to targets in the multi-target mode as applied to the linear frequency modulation continuous wave (FMCW) car radar of a millimeter-wave range. The algorithm is based on an estimate of the fast Fourier transform (FFT) amplitude spectrum of the received microwave signals. The reasons for the occurrence of false targets when using frequency modulation continuous wave radars and the probability of their occurrence are identified. Using a computer experiment in the LabVIEW environment, the detection efficiency in additive white noise was investigated and the probability of detection was calculated for various ratios signal to the noise at the radar receiver input.

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Acknowledgements

The research was supported by Ministry of Science and Higher Education of the Russian Federation (project unique ID RFMEFI58418X0035).

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Correspondence to Vladimir D. Kuptsov .

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Kuptsov, V.D., Ivanov, S.I., Fedotov, A.A., Badenko, V.L. (2019). Features of Multi-target Detection Algorithm for Automotive FMCW Radar. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_30

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  • DOI: https://doi.org/10.1007/978-3-030-30859-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30858-2

  • Online ISBN: 978-3-030-30859-9

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