Multi-targets detection using 3D-FFT scheme for TDM-MIMO automotive radar

Chenyong Tian; BiYing Jiang; Zequn Yang

doi:10.1117/12.2671235

29 March 2023 Multi-targets detection using 3D-FFT scheme for TDM-MIMO automotive radar

Chenyong Tian, BiYing Jiang, Zequn Yang

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 1259414 (2023) https://doi.org/10.1117/12.2671235
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

Automotive radar is the key component of driver assistance system. The main current requirements are high angular resolution, high target detection accuracy, low power consumption, and low cost. However, ambiguous target and low angle measurement accuracy will appear in the multi-target scenario. In order to solve these problems, TDM-MIMO (time division multiplexing multiple-input-multiple-output) radar is implemented to improve the angular resolution. We use the proposed TDM-MIMO LFMCW (linear frequency modulated continuous wave) echo model to derive the range, velocity and azimuth information of the target. And we present a 3D-FFT (three-dimensional fast Fourier transform) scheme to solve the problem of multi-target detection. In the simulation, we effectively solve the accuracy problem in multi-target detection without ambiguity, and the angular resolution is improved by about 14°.

Citation Download Citation

Chenyong Tian, BiYing Jiang, and Zequn Yang "Multi-targets detection using 3D-FFT scheme for TDM-MIMO automotive radar", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 1259414 (29 March 2023); https://doi.org/10.1117/12.2671235

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