Joint Radar-Communication Systems: Modulation Schemes and System Design

Oliveira, Lucas Giroto de; Nuß, Benjamin; Alabd, Mohamad Basim; Diewald, Axel; Pauli, Mario; Zwick, Thomas

doi:10.1109/tmtt.2021.3126887

Cited by 88 publications

(58 citation statements)

References 123 publications

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“…Using (26) in (24) provides the maximum of r d(0, µ), which is same as r(d) in (20), whereas (27) indicates the additional peak with height reduced by a factor of N cp /N and affected by the ISI. Similar to D conv(d,p) , where a processing of N M is assigned to a peak, D pro( d,p) also provides the same processing gain when i = g in (26); otherwise, H d,(q−i) in ( 26) is interference.…”

Section: Proposed Methods For Range Extensionmentioning

confidence: 99%

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A W-Band Communication and Sensing Convergence System Enabled by Single OFDM Waveform

Idrees

Saqlain

et al. 2022

Micromachines

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Convergence of communication and sensing is highly desirable for future wireless systems. This paper presents a converged millimeter-wave system using a single orthogonal frequency division multiplexing (OFDM) waveform and proposes a novel method, based on the zero-delay shift for the received echoes, to extend the sensing range beyond the cyclic prefix interval (CPI). Both simulation and proof-of-concept experiments evaluate the performance of the proposed system at 97 GHz. The experiment uses a W-band heterodyne structure to transmit/receive an OFDM waveform featuring 3.9 GHz bandwidth with quadrature amplitude modulation (16-QAM). The proposed approach successfully achieves a range resolution of 0.042 m and a speed resolution of 0.79 m/s with an extended range, which agree well with the simulation. Meanwhile, based on the same OFDM waveform, it also achieves a bit-error-rate (BER) 10−2, below the forward error-correction threshold. Our proposed system is expected to be a significant step forward for future wireless convergence applications.

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Section: Proposed Methods For Range Extensionmentioning

confidence: 99%

“…More interestingly, the OFDM waveform has also been well documented for its effectiveness in radar applications [13][14][15]. Therefore, OFDM waveforms are promising for the convergence of communication and sensing [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

A W-Band Communication and Sensing Convergence System Enabled by Single OFDM Waveform

Idrees

Saqlain

et al. 2022

Micromachines

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“…Based on the definition in (10), the power of reflected signals from target can be expressed a function of Γ (q[n], v j ) together with pathloss from the UAV to the given target, as shown in constraints (11a).…”

Section: B Communication and Sensing Modelmentioning

confidence: 99%

“…Several similar terminologies have been utilized to describe this related research, such as radarcommunication (RadCom) [9], [10], dual-functional radar communication (DFRC) [11], [12], joint communication and radar sensing (JCAS) [13], [14]. In the industry, ISAC is regarded as a key technology in Huawei and Nokia for future wireless network investigations [15], [16]; "Hexa-X" project supported by European Commission focuses on extending the localization and sensing capabilities for 6G [17]; Project IEEE 802.11bf plans to develop WLAN sensing by analyzing the received WLAN signals to recognize the features of the intended targets in a given environment [18].…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization for UAV-enabled Integrated Periodic Sensing and Communication

Meng,

Wu,

et al. 2022

Preprint

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Driven by unmanned aerial vehicle (UAV)'s advantages of flexible observation and enhanced communication capability, it is expected to revolutionize the existing integrated sensing and communication (ISAC) system and promise a more flexible joint design. Nevertheless, the existing works on ISAC mainly focus on exploring the performance of both functionalities simultaneously during the entire considered period, which may ignore the practical asymmetric sensing and communication requirements.In particular, always forcing sensing along with communication may make it is harder to balance between these two functionalities due to shared spectrum resources and limited transmit power. To address this issue, we propose a new integrated periodic sensing and communication (IPSAC) mechanism for the UAV-enabled ISAC system to provide a more flexible trade-off between two integrated functionalities. Specifically, the system achievable rate is maximized via jointly optimizing UAV trajectory, user association, target sensing selection, and transmit beamforming, while meeting the sensing frequency and beam pattern gain requirement for the given targets. Despite that this problem is highly non-convex and involves closely coupled integer variables, we derive the closed-form optimal beamforming vector to dramatically reduce the complexity of beamforming design, and present a tight lower bound of the achievable rate to facilitate UAV trajectory design. Based on the above results, we propose a two-layer penalty-based algorithm to efficiently solve the considered problem. To draw more important insights, the optimal achievable rate and the optimal UAV location are analyzed under a special case of infinity number of antennas. Furthermore, we prove the structural symmetry between the optimal solutions in different ISAC frames without location constraints in our considered UAV-enabled ISAC system. Based on this, we propose an efficient algorithm for solving the problem with location constraints. Numerical results validate the effectiveness of our proposed designs and also unveil a more flexible trade-off in ISAC systems over benchmark schemes.

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“…communication signals). In [8], an overview of the modulation schemes for JCR is given for the joint sensing and communication performance, and a comparative analysis is also carried out. Similar to the radar system, device-free sensing is that we use the reflected communication signal to sense a target, and the device-free sensing method for moving target using orthogonal frequency division multiplexing (OFDM) is developed in [9].…”

Section: Introductionmentioning

confidence: 99%

A RIS-Based Passive DOA Estimation Method for Integrated Sensing and Communication System

Chen¹,

Chen²,

Wang³

2022

Preprint

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Integrated sensing and communication (ISAC) system has received growing attention, especially in the context of B5G/6G development. Combining the reconfigurable intelligent surface (RIS) with wireless communication process, a novel passive sensing technique is formulated in this paper to estimate the direction of arrival (DOA) of the targets, where the control matrix of the RIS is used to to realize the multiple measurements with only one full-functional receiving channel. Unlike the existing methods, the interference signals introduced by wireless communication are also considered. To improve the DOA estimation, a novel atomic norm-based method is proposed to remove the interference signals by the sparse reconstruction. The DOA is estimated after the interference removal by a novel Hankel-based multiple signal classification (MUSIC) method. Then, an optimization method is also developed for the measurement matrix to reduce the power interference signals and keep the measurement matrix's randomness, which guarantees the performance of the sparse reconstruction. Finally, we derive the theoretical Cramér-Rao lower bound (CRLB) for the proposed system on the DOA estimation. Simulation results show that the proposed method outperforms the existing methods in the DOA estimation and shows the corresponding CRLB with different distributions of the sensing node. The code about the proposed method is available online https://github.com/chenpengseu/ PassiveDOA-ISAC-RIS.git.

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Joint Radar-Communication Systems: Modulation Schemes and System Design

Cited by 88 publications

References 123 publications

A W-Band Communication and Sensing Convergence System Enabled by Single OFDM Waveform

A W-Band Communication and Sensing Convergence System Enabled by Single OFDM Waveform

Throughput Maximization for UAV-enabled Integrated Periodic Sensing and Communication

A RIS-Based Passive DOA Estimation Method for Integrated Sensing and Communication System

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