An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method
Ministerial Key Laboratory of JGMT, Nanjing University of Science and Technology, Xiao Ling Wei200#, Nanjing 210094, China
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Sensors 2019, 19(16), 3580; https://doi.org/10.3390/s19163580
Received: 12 July 2019
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Revised: 5 August 2019
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Accepted: 16 August 2019
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Published: 17 August 2019
(This article belongs to the Section Remote Sensors)
In this paper, a Multiple Input Multiple Output (MIMO) radar system based on a sparse-array is proposed. In order to reduce the side-lobe level, a genetic algorithm (GA) is used to optimize the array arrangement. To reduce the complexity of the system, time-division multiplexing (TDM) technology is adopted. Since the signals are received in different periods, a frequency migration will emerge if the target is in motion, which will lead to the lower direction-of-arrival (DOA) performance of the system. To solve this problem, a stretching transformation method in the fast-frequency slow-time domain is proposed, in order to eliminate frequency migration. Only minor adjustments need to be implemented for the signal processing, and the root-mean-square error (RMSE) of the DOA estimation will be reduced by about 90%, compared with the one of an uncalibrated system. For example, a uniform linear array (ULA) MIMO system with 2 transmitters and 20 receivers can be replaced by the proposed system with 2 transmitters and 12 receivers, achieving the same DOA performance. The calibration formulations are given, and the simulation results of the automotive radar system are also provided, which validate the theory.
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Keywords:
TDM; MIMO; DOA; Sparse-array; frequency migration; time stretching transform
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MDPI and ACS Style
Ma, Y.; Miao, C.; Zhao, Y.; Wu, W. An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method. Sensors 2019, 19, 3580. https://doi.org/10.3390/s19163580
AMA Style
Ma Y, Miao C, Zhao Y, Wu W. An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method. Sensors. 2019; 19(16):3580. https://doi.org/10.3390/s19163580
Chicago/Turabian StyleMa, Yue, Chen Miao, Yangying Zhao, and Wen Wu. 2019. "An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method" Sensors 19, no. 16: 3580. https://doi.org/10.3390/s19163580
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