Joint Radar-Communication Waveform Designs Using Signals From Multiplexed Users

Cao, Ning; Chen, Yunfei; Gu, Xueyun; Feng, Wei

doi:10.1109/tcomm.2020.2994215

Cited by 19 publications

(10 citation statements)

References 27 publications

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“…In [54], cyclic prefixed single carrier and its variations were applied to ISAC. Cao et al [55] proposed to exploit the linear combination of communication data of different users for radar detection. To decrease the range sidelobes, Zhou et al [56] proposed to utilize the disturbing phases of digital sequences in a single carrier pulsed radar.…”

Section: B Single Carriermentioning

confidence: 99%

“…Detection, estimation, and recognition are three main tasks of sensing, while efficiency and reliability are two vital metrics for communication [5]. For instance, the mean squared error (MSE) [55] and CRB [127] can measure the estimation performance of sensing, and bit error rate (BER) [108] represents the degree of reliability of communication. Although the state-of-art works use the individual performance metrics of communication and sensing for ISAC waveform design, it is still indispensable to investigate the unified performance for understanding the fundamental communication and sensing performance tradeoff.…”

Section: A Unified Performance Metric Of Isac Waveformsmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Sensing and Communication Waveform Design: A Survey

Zhou

Zhang

Chen

et al. 2022

IEEE Open J. Commun. Soc.

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Integrated sensing and communication (ISAC) has been widely recognized as a key technology in future sixth-generation (6G) wireless networks, especially for emerging applications and scenarios demanding both high-performance sensing and communication functionalities. The ISAC technique has the potential of enabling sensing and communication functionalities in a single hardware platform, even sharing the same waveform, thus, achieving the reduced cost of hardware implementation and the efficient use of spectrum resources. In this paper, we commence with the discussion on sensing and communication at the current stage from the view of motivations, applications, and challenges. Then, we provide a comprehensive survey of the state-of-the-art approaches to the ISAC technique from the waveform design perspective. To be specific, we classify the waveform design methods into three categories, namely, communicationcentric waveform design, sensing-centric waveform design, and joint waveform optimization and design. In addition, potential research directions and challenges for future ISAC waveform design are outlined.INDEX TERMS 6G, integrated sensing and communication, communication-centric waveform design, sensing-centric waveform design, joint waveform optimization and design.

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Section: B Single Carriermentioning

confidence: 99%

Section: A Unified Performance Metric Of Isac Waveformsmentioning

confidence: 99%

Integrated Sensing and Communication Waveform Design: A Survey

Zhou

Zhang

Chen

et al. 2022

IEEE Open J. Commun. Soc.

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show abstract

“…This can be mitigated via beamforming [31] - [33] or null space projection [34]. If they integrate with each other, dual-functional [35] or duplexed waveforms [29], [30] are often used, which require changes to the 5G systems. For example, the same carrier could be modulated by both radar and communications signals, or waveform diversity could be used where the main lobe is used for radar and side-lobes are used for communications, or certain antennas in MIMO systems or certain subcarriers in OFDM systems are used for radar while others are used for communications.…”

Section: Related Fields and Scopementioning

confidence: 99%

Radio Sensing Using 5G Signals: Concepts, State of the Art, and Challenges

Chen

Zhang

Feng

et al. 2022

IEEE Internet Things J.

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“…Numerous items, such as sensors, vehicles, tablets, and wearable devices, are joining the network, fostering a series of techniques and applications. For example, by leveraging the autonomous inspection of monitors, intelligent transportation [1]- [3], coastal monitoring [4], [5] and smart agriculture [6] are rapidly evolving. In addition, the agile measurement of sensors enables autonomous driving [7], smart health care [8] and fast disaster recovery [9].…”

Section: Introductionmentioning

confidence: 99%