TY - GEN
T1 - Decoupled Imaging for Coherent FMCWMIMO Radar with Compressive Sensing
AU - Grimm, Ferdinand
AU - Munir, Jawad
AU - Nossek, Josef A.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/26
Y1 - 2018/11/26
N2 - We investigate a framework for coherent multiple input multiple output (MIMO) radar imaging using frequency modulated continuous wave (FMCW). The structure of the FMCW signal decouples the joint estimation problem into range and azimuth imaging. Decoupling the problem reduces the computational complexity of the approach. The proposed method is generalized to near-field scenarios in case the point spread function of the output signal can be approximated by the product of the transmit and receiver antenna point spread functions. The range imaging problem is solved with the help of a Fast-Fourier-Transform (FFT) of the beat signal. In order to avoid forward-backward spacial smoothing techniques we rely on a compressive sensing-based direction of arrival estimation. The performance of the proposed approach is tested and evaluated using simulations. Furthermore we investigate the computational complexity of the framework.
AB - We investigate a framework for coherent multiple input multiple output (MIMO) radar imaging using frequency modulated continuous wave (FMCW). The structure of the FMCW signal decouples the joint estimation problem into range and azimuth imaging. Decoupling the problem reduces the computational complexity of the approach. The proposed method is generalized to near-field scenarios in case the point spread function of the output signal can be approximated by the product of the transmit and receiver antenna point spread functions. The range imaging problem is solved with the help of a Fast-Fourier-Transform (FFT) of the beat signal. In order to avoid forward-backward spacial smoothing techniques we rely on a compressive sensing-based direction of arrival estimation. The performance of the proposed approach is tested and evaluated using simulations. Furthermore we investigate the computational complexity of the framework.
UR - http://www.scopus.com/inward/record.url?scp=85061786514&partnerID=8YFLogxK
U2 - 10.1109/ICARES.2018.8547131
DO - 10.1109/ICARES.2018.8547131
M3 - Conference contribution
AN - SCOPUS:85061786514
T3 - ICARES 2018 - Proceedings of the 2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology
SP - 8
EP - 14
BT - ICARES 2018 - Proceedings of the 2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2018
Y2 - 20 September 2018 through 21 September 2018
ER -