The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Toward Millimeter-Wave Joint Radar Communications: A Signal Processing Perspective
Open accessAbstract
Synergistic design of communications and radar systems with common spectral and hardware resources is heralding a new era of efficiently utilizing a limited radio-frequency (RF) spectrum. Such a joint radar communications (JRC) model has advantages of low cost, compact size, less power consumption, spectrum sharing, improved performance, and safety due to enhanced information sharing. Today, millimeter-wave (mmwave) communications have emerged as the preferred technology for short distance wireless links because they provide transmission bandwidth that is several gigahertz wide. This band is also promising for short-range radar applications, which benefit from the high-range resolution arising from large transmit signal bandwidths. Signal processing techniques are critical to the implementation of mm-wave JRC systems. Major challenges are joint waveform design and performance criteria that would optimally trade off between communications and radar functionalities. Novel multiple-input, multiple-output (MIMO) signal processing techniques are required because mm-wave JRC systems employ large antenna arrays. There are opportunities to exploit recent advances in cognition, compressed sensing, and machine learning to reduce required resources and dynamically allocate them with low overheads. This article provides a signal processing perspective of mm-wave JRC systems with an emphasis on waveform design.
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Millimeter wave wireless communications: new results for rural connectivity
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Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches?
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IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System
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Survey of RF Communications and Sensing Convergence Research
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Signaling strategies for dual-function radar communications: an overview
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Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
Liu, F., Cui, Y., Masouros, C., Xu, J., Han, T. X., Eldar, Y. C., & Buzzi, S. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3156632 · Cited by 3,857
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication
Gaudio, L., Kobayashi, M., Caire, G., & Colavolpe, G. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.2998583 · Cited by 444
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
Self-citationAn, J., Li, H., Ng, D. W. K., & Yuen, C. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3273850 · Cited by 122
Metadata
- Authors
- Mishra, K. V., Bhavani Shankar, M. R., Koivunen, V., Ottersten, B., & Vorobyov, S. A.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2019-09
- Volume
- 36
- Issue
- 5
- Pages
- 100-114
- ISSN
- 1053-5888 (ISSN-L)
- 1558-0792
- OpenAlex
- W2942823245
- Cited by
- 537
- References
- 29
- FWCI
- 41.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Mishra, K. V., Bhavani Shankar, M. R., Koivunen, V., Ottersten, B., & Vorobyov, S. A. (2019). Toward Millimeter-Wave Joint Radar Communications: A Signal Processing Perspective. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2019.2913173
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