Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System
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Division of Smart Robot Convergence and Application Engineering, Department of Electronic Engineering, Pukyong National University, Busan 48513, Korea
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Radio & Satellite Research Division, Communication & Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Raviraj Adve, Graham Brooker, Joohwan Chun and Hasan S. Mir
Sensors 2021, 21(7), 2382; https://doi.org/10.3390/s21072382
Received: 24 February 2021
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Revised: 23 March 2021
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Accepted: 26 March 2021
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Published: 30 March 2021
(This article belongs to the Special Issue Signal Processing in Radar and Wireless Communication Systems)
In this paper, a joint multiple-input multiple-output (MIMO OFDM) radar and communication (RadCom) system is proposed, in which orthogonal frequency division multiplexing (OFDM) waveforms carrying data to be transmitted to the information receiver are exploited to get high-resolution radar images at the RadCom platform. Specifically, to get two-dimensional (i.e., range and azimuth angle) radar images with high resolution, a compressive sensing-based imaging algorithm is proposed that is applicable to the signal received through multiple receive antennas. Because both the radar imaging performance (i.e., the mean square error of the radar image) and the communication performance (i.e., the achievable rate) are affected by the subcarrier allocation across multiple transmit antennas, by analyzing both radar imaging and communication performances, we also propose a subcarrier allocation strategy such that a high achievable rate is obtained without sacrificing the radar imaging performance.
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Keywords:
MIMO OFDM radar and communication; subcarrier allocation strategy; Bayesian matching pursuit
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MDPI and ACS Style
Hwang, S.; Seo, J.; Park, J.; Kim, H.; Jeong, B.J. Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System. Sensors 2021, 21, 2382. https://doi.org/10.3390/s21072382
AMA Style
Hwang S, Seo J, Park J, Kim H, Jeong BJ. Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System. Sensors. 2021; 21(7):2382. https://doi.org/10.3390/s21072382
Chicago/Turabian StyleHwang, SeongJun, Jiho Seo, Jaehyun Park, Hyungju Kim, and Byung J. Jeong. 2021. "Compressive Sensing-Based Radar Imaging and Subcarrier Allocation for Joint MIMO OFDM Radar and Communication System" Sensors 21, no. 7: 2382. https://doi.org/10.3390/s21072382
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