The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Joint System Design for Coexistence of MIMO Radar and MIMO Communication
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.
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Citations
Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Cited by
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
Liu, X., Huang, T., Shlezinger, N., Liu, Y., Zhou, J., & Eldar, Y. C. (2020) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2020.3004739 · Cited by 992
Radar and Communication Coexistence: An Overview: A Review of Recent Methods
Zheng, L., Lops, M., Eldar, Y. C., & Wang, X. (2019) · IEEE Signal Processing Magazine · doi:10.1109/msp.2019.2907329 · Cited by 659
Self-citationDual-Function Radar Communication Systems: A Solution to the Spectrum Congestion Problem
Hassanien, A., Amin, M. G., Aboutanios, E., & Himed, B. (2019) · IEEE Signal Processing Magazine · doi:10.1109/msp.2019.2900571 · Cited by 482
Limited feedforward waveform design for OFDM dual-functional radar-communications
Keskin, M. F., Koivunen, V., & Wymeersch, H. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3076894 · Cited by 188
Metadata
- Authors
- Qian, J., Lops, M., Zheng, L., Wang, X., & He, Z.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2018-07-01
- Volume
- 66
- Issue
- 13
- Pages
- 3504-3519
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2799817386
- Cited by
- 262
- References
- 2
- FWCI
- 20.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qian, J., Lops, M., Zheng, L., Wang, X., & He, Z. (2018). Joint System Design for Coexistence of MIMO Radar and MIMO Communication. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2018.2831624
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