Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication

Wu, Linlong; Shankar, M. R. Bhavani

doi:10.1049/sil2.12110

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…where H is positive semidefinite (PSD) matrix, x (l) denotes the current point (at the l-th iteration), and the equality holds if and only if x = x (l) ; See [66].…”

Section: Proofmentioning

confidence: 99%

RIS-Aided Wideband Holographic DFRC

Wei,

Wu,

Mishra

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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To enable non-line-of-sight (NLoS) sensing and communications, dual-function radar-communications (DFRC) systems have recently proposed employing reconfigurable intelligent surface (RIS) as a reflector in wireless media. However, in the dense environment and higher frequencies, severe propagation and attenuation losses are a hindrance for RIS-aided DFRC systems to utilize wideband processing. To this end, we propose equipping the transceivers with a reconfigurable holographic surface (RHS). Unlike RIS, an RHS is a metasurface with an embedded connected feed deployed at the transceiver for greater control of the radiation amplitude. This surface is crucial for designing compact low-cost wideband wireless systems, wherein ultra-massive antenna arrays are required to compensate for the losses incurred by severe attenuation and diffraction. We consider a wideband DFRC system equipped with an RHS at the transmitter and an RIS reflector in the channel. We jointly design the receive filter along with the digital, holographic, and passive beamformers to maximize the worst-case radar signal-to-interference-plus-noise ratio (SINR) while ensuring the communications SINR among all users. For the resulting nonconvex optimization problem, we develop an alternating maximization method to decouple and iteratively solve these subproblems. The resulting nonconvex optimization problem involves maximin objective, constant modulus, and difference of convex constraints. We develop an alternating maximization method to decouple and iteratively solve these subproblems. Numerical

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“…where H is positive semidefinite (PSD) matrix, x (l) denotes the current point (at the l-th iteration), and the equality holds if and only if x = x (l) ; See [66].…”

Section: Proofmentioning

confidence: 99%

RIS-Aided Wideband Holographic DFRC

Wei,

Wu,

Mishra

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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“…Compared with the coexistence schemes [20,21], DFRC embeds the communication symbol into the transmitted signal and shares the same platform for both communication and sensing [22,23]. Leveraging on the intelligent multibeam control, IRS is also utilized in dual-function radarcommunications (DFRC) to enhance the ability of sensing and/or communications [10,11,24,25].…”

Section: Introductionmentioning

confidence: 99%

IRS-Aided Wideband Dual-Function Radar-Communications with Quantized Phase-Shifts

Mishra

Shankar

2022

2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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Intelligent reflecting surface (IRS) are increasingly considered as an emerging technology to assist the wireless communications and target sensing. In this paper, we consider the quantized IRS-aided wideband dual-function radar-communications (DFRC) system with OFDM signaling. Specifically, the radar receive filter, frequency-dependent transmit beamforming and discrete phase-shifts are jointly designed to maximize the average signal-to-noise ratio (SINR) for radar while guaranteeing the communication SINR among all users. The resulting optimization problem, consisting of fractional quartic objective, difference of convex (DC) and discrete phase constraints, is highly nonconvex. Thus, we solve this problem via the alternating maximization (AM) framework, in which the alternating direction method of multipliers (ADMM) and Dinkelbach's algorithm are integrated to tackle the related subproblems. Numerical results demonstrate that the proposed method, even with the low-resolution IRS, achieves better sensing performance compared with no-IRS system.

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“…Recently, joint radar and communication (JRC) system which can share both the hardward and spectrum resources has been widely investigated [20,21]. Meanwhile, due to the flexibility of multi-beam control, IRS is also utilized in dual-function radar communication (DFRC) to enhance the ability of sensing and/or communications [10,11,22,23].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Active-Passive Beamformer Design in IRS-Enabled Multi-Carrier DFRC System

Mishra

Bhavani

2022

2022 30th European Signal Processing Conference (EUSIPCO)

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In this paper, the problem of joint active and passive beamforming design for intelligent reflecting surface (IRS) aided wideband dual-function radar and communication (DFRC) is investigated. Specifically, we consider jointly designing the radar receive filter, frequency-dependent beamforming matrices and IRS phase shifts to maximize the average radar SINR and the minimal communication SINR among all users, simultaneously. However, the resulting problem comprises a maximin objective function, constant modulus and power constraints, and is highly nonconvex. To this end, within the alternating maximization (AM) framework, an iterative method judiciously integrates the alternating direction method of multipliers (ADMM), Riemannian steepest descent (RSD) and Dinkelbach's method to tackle the problem. Numerical experiments demonstrate that the proposed method for IRS-aided DFRC can achieve better performance for both radar and communication compared with the No-IRS case.

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Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication

Cited by 3 publications

References 41 publications

RIS-Aided Wideband Holographic DFRC

RIS-Aided Wideband Holographic DFRC

IRS-Aided Wideband Dual-Function Radar-Communications with Quantized Phase-Shifts

Simultaneous Active-Passive Beamformer Design in IRS-Enabled Multi-Carrier DFRC System

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