Combining MIMO Radar with MU-MIMO Communications: More than Coexistence
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6 July 2018
Creating听new techniques and waveforms for communication systems and radar coexistence
Funder听贬2020
Amount听140 000 GBP (total)
Project website听
Description
Frequency spectrum has nowadays become one of the most valuable assets, as the wireless communications devices and services are growing explosively.
Realising the scarcity of the spectrum, future wireless systems are exploring the feasibility to use the spectrum that is currently occupied by radar systems, such as 3.4GHz and 5.6GHz bands used by airborne and shipborne radars.
With the allocation of available spectrum to newer communication technologies, the interference in radarbands is on the rise consequently. Therefore, effective interference management approaches are needed for achieving the spectral coexistence between the current radar and communication services.
The goal of ComRad is to develop novel signal processing techniques for transmit and receive beamforming, waveform design, signal classification/recognition, and channel estimation, to enable the exploitation of radar spectrum for communication applications, with particular focus on 1) coexisting communication and radar systems (C-ComRad), and 2) Dual-functional Communication-Radar Systems (D-ComRad).
The main research approaches that will be employed include the cutting-age concepts of interference exploitation, manifold based optimization and machine learning. The research outputs will contribute to the efficient usage of the spectrum, which is closely related to the economic future of the European Union (EU), especially the digital communication for essential public services such as defense, police and emergency services.听
Outputs
- Publications
F. Liu, L. Zhou, C. Masouros, A. Li, W. Luo, A. Petropulu 鈥淭owards Dual-functional Radar-Communication Systems: Optimal Waveform Design鈥, IEEE Trans. Sig. Proc., in press
F. Liu, C. Masouros, A. Li., T. Ratnarajah, J. Zhou, 鈥淢IMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation鈥, IEEE Trans. Sig. Proc., vol. 66, no. 14, pp. 3681-3695, July15, 15 2018, DOI: 10.1109/TSP.2018.2833813
F. Liu and C. Masouros, A. Li, H. Sun, L. Hanzo 鈥淢U-MIMO Communications and MIMO Radar: From Co-existence to Joint Transmission鈥, IEEE Trans. Wireless Comms., vol. 17, no. 4, pp. 2755-2770, April 2018, DOI: 10.1109/TWC.2018.2803045
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