MIMO Waveform Design for Dual Functions of Radar and Communication With Space-Time Coding

Wu, Wenhua; Han, Guangjie; Cao, Yunhe; Huang, Yongwei; Yeo, Tat‐Soon

doi:10.1109/jsac.2022.3155508

Cited by 18 publications

(3 citation statements)

References 36 publications

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“…Using the equivalent continuous functions to express the non-continuous clustering variables in (26)(27)(28)(29), the problem (2.5) is equivalent to…”

Section: B Communication-centric Problemmentioning

confidence: 99%

“…The work in [28] further studied a RIS-assisted DFRC system, where the base station (BS) simultaneously performs both MIMO radar sensing and multi-user MIMO communication. A space-time coding scheme was developed in [29] for transmit beamforming of DFRC to embed communication information. Fixed covariance for MIMO radar to guarantee the radar performance, signalto-interference-plus-noise ratio (SINR) balancing problem was solved by multiuser transmit beamforming in [30].…”

Section: Introductionmentioning

confidence: 99%

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Joint Waveform and Clustering Design for Coordinated Multi-Point DFRC Systems

Chen

Qin

Chen

et al. 2023

IEEE Trans. Commun.

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To improve both sensing and communication performances, this paper proposes a coordinated multi-point (CoMP) transmission design for a dual-functional radar-communication (DFRC) system. In the proposed CoMP-DFRC system, the central processor (CP) coordinates multiple base stations (BSs) to transmit both the communication signal and the dedicated probing signal. The communication performance and the sensing performance are both evaluated by the signal-to-interferenceplus-noise ratio (SINR). Given the limited backhaul capacity, we study the waveform and clustering design from both the radar-centric perspective and the communication-centric perspective. Dinkelbach's transform is adopted to handle the singleratio fractional objective for the radar-centric problem. For the communication-centric problem, we adopt quadratic transform to convexitify the multi-ratio fractional objective. Then, the rankone constraint of communication beamforming vector is relaxed by semidefinite relaxation (SDR), and the tightness of SDR is further proved to guarantee the optimal waveform design with fixed clustering. For dynamic clustering, equivalent continuous functions are used to represent the non-continuous clustering variables. Successive convex approximation (SCA) is further utilized to convexitify the equivalent functions. Simulation results are provided to verify the effectiveness of all proposed designs.

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“…Using the equivalent continuous functions to express the non-continuous clustering variables in (26)(27)(28)(29), the problem (2.5) is equivalent to…”

Section: B Communication-centric Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Waveform and Clustering Design for Coordinated Multi-Point DFRC Systems

Chen

Qin

Chen

et al. 2023

IEEE Trans. Commun.

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“…The spectrum sharing lies in that the collocated MIMO radar and MIMO communication locate on a single platform but operate separately, one system worked as the primary function while the other one worked as the interference [2], [4]- [6]. The waveform design approach aims to devise a dual-function signal model which can simultaneously deal with radar detection and information transmission [8]- [11], by virtue of devising a dual functional signal [12], directly utilizing the communication signal [8] or waveform optimization based on MIMO radar [9]- [11]. The dual-function system design is to fuse communication functionality in the existing radar platform without perceptible impact on radar performance [13]- [18].…”

mentioning

confidence: 99%

Performance Analysis of Joint Radar-Communication System Based on FDA-MIMO Radar

Li,

Wang

2024

IEEE Access

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Faced with the increasingly complicated electromagnetic environment, the joint design of radar and communication system has been an effective solution to save spectrum resources and reduce the complexity of system hardware. By introducing index modulation, we design a joint radar-communication system based on the frequency diverse array (FDA) based multiple-input-multiple-output (MIMO) radar. Different from the conventional phased-array (PA) radar and MIMO radar array, the FDA-MIMO radar can generate range-angle-dependent beampattern, which enables the distinctive signal processing methods. In this paper, we proceed the investigation on performance of the proposed joint system scheme by firstly establishing the three-dimension (3D) signal model for the radar subsystem, based on which the achievable radar resolution in range, angle and Doppler dimension can be estimated. Since the beampattern of FDA-MIMO radar is range-dependent, the proposed joint system can achieve interference suppression of the false targets in radar mainlobe. For communication subsystem, a communication security enhancement approach is devised, followed by the derivation of the theoretical SER upper bound. The numerical results demonstrate the effectiveness and superiority compared with the other dual-function systems based on conventional multi-antenna arrays.

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MIMO waveform design for radar and communication integrated system in the presence of active interferences

Han²,

Cao³

et al. 2022

Digital Signal Processing

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MIMO Waveform Design for Dual Functions of Radar and Communication With Space-Time Coding

Cited by 18 publications

References 36 publications

Joint Waveform and Clustering Design for Coordinated Multi-Point DFRC Systems

Joint Waveform and Clustering Design for Coordinated Multi-Point DFRC Systems

Performance Analysis of Joint Radar-Communication System Based on FDA-MIMO Radar

MIMO waveform design for radar and communication integrated system in the presence of active interferences

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