1. Joint System Design for Coexistence of MIMO Radar and MIMO Communication
- Author
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Zishu He, Marco Lops, Xiaodong Wang, Le Zheng, Junhui Qian, Qian, Junhui, Lops, Marco, Le Zheng, Null, Wang, Xiaodong, and He, Zishu
- Subjects
Multiple-input multiple-output (MIMO) radar, MIMO communication, spectrum sharing, alternating optimization ,Computer science ,Iterative method ,MIMO ,02 engineering and technology ,Degrees of freedom (mechanics) ,Interference (wave propagation) ,Communications system ,alternating optimization ,law.invention ,Signal-to-noise ratio ,0203 mechanical engineering ,law ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,MIMO communication ,Waveform ,Transmit array ,Electrical and Electronic Engineering ,Radar ,Computer Science::Information Theory ,020301 aerospace & aeronautics ,Multiple-input multiple-output (MIMO) radar ,020206 networking & telecommunications ,Mimo radar ,Signal Processing ,Clutter ,spectrum sharing - Abstract
This paper considers the joint design of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO communication system. The degrees of freedom under the designer's control are the waveforms transmitted by the radar transmit array, the filter at the radar array and the code-book employed by the communication system to form its space-time code matrix. Two formulations of the spectrum sharing problem are proposed. First, the design problem is stated as the constrained maximization of the signal-to-interference-plus-noise ratio at the radar receiver, where interference is due to both clutter and the coexistence structure, and the constraints concern both the similarity with a standard radar waveform and the rate achievable by the communication system, on top of those on the transmit energy. The resulting problem is nonconvex, but a reduced-complexity iterative algorithm, based on iterative alternating maximization of three suitably designed subproblems, is proposed and analyzed. In addition, the constrained maximization of the communication rate is also investigated. The convergence of all the devised algorithms is guaranteed. Finally, a thorough performance assessment is presented, aimed at showing the merits of the proposed approach.
- Published
- 2018
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