Features of Multi-target Detection Algorithm for Automotive FMCW Radar

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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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Kuptsov, V. D., Ivanov, S. I., Fedotov, A. A., & Badenko, V. L. (2019). Features of Multi-target Detection Algorithm for Automotive FMCW Radar. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11660 LNCS, pp. 355–364). Springer Verlag. https://doi.org/10.1007/978-3-030-30859-9_30

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