Open AccessThe signal processing algorithm of automotive FMCW radars with an extended range of speed estimation
Author(s) -
С. И. Иванов,
Vladimir D. Kuptsov,
Alexander Fedotov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1236/1/012081
Subject(s) - chirp , radar , continuous wave radar , signal (programming language) , algorithm , waveform , nyquist–shannon sampling theorem , computer science , doppler effect , range (aeronautics) , additive white gaussian noise , pulse doppler radar , acoustics , pulse repetition frequency , white noise , telecommunications , physics , radar imaging , engineering , optics , computer vision , laser , astronomy , programming language , aerospace engineering
The paper considers the algorithm for estimating the speed and distance to the target as applied to the mm wave automotive radar with linear FMCW. To extend the range of target speed estimation, a signal in the form of a Chirp Sequence Waveform is used with a shift of the initial frequency in the adjacent chirps of the frame. A mathematical model of the received microwave signal is proposed, taking into account a wide range of velocity changes of the target, as well as the effect of additive white Gaussian noise on the radar receiver. It is shown that the signal-to-noise ratio of 10 dB is necessary for the algorithm to work, and that the unambiguity and consistency of the speed estimate is limited by the first two Nyquist zones for the Doppler frequency.