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

WEI, Tong; WU, Linlong; MYSORE RAMA RAO, Bhavani Shankar

doi:10.1109/SAM53842.2022.9827819

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

WEI, Tong; WU, Linlong; MYSORE RAMA RAO, Bhavani Shankar

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

Peer reviewed

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https://hdl.handle.net/10993/57724

DOI
10.1109/SAM53842.2022.9827819

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Keywords :

Alternating maximization; dual-function radar-communications; intelligent reflecting surfaces; quantization; Discrete phase; Dual function; Dual-function radar-communication; Intelligent reflecting surface; Quantisation; Radar communication; Reflecting surface; Signalto-interference-plus-noise ratios (SINR); Wide-band; Signal Processing; Control and Systems Engineering; Electrical and Electronic Engineering; dual-function radarcommunications

Abstract :

[en] Intelligent reflecting surfaces (IRS) are increasingly considered as an emerging technology to assist wireless communications and target sensing. In this paper, we consider the quantized IRS-aided wideband dual-function radar-communications system with multi-carrier signaling. Specifically, the radar receive filter, frequency-dependent transmit beamforming and discrete phase-shifts are jointly designed to maximize the average signal-to-interference-plus-noise ratio (SINR) for radar while guaranteeing the communication SINR among all users. The resulting optimization problem has a fractional quartic objective function with difference of convex and discrete phase constraints and is, therefore, highly non-convex. Thus, we solve this problem via the alternating maximization framework, in which the alternating direction method of multipliers 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 non-IRS system.

Disciplines :

Electrical & electronics engineering

Author, co-author :

WEI, Tong ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

WU, Linlong ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

MYSORE RAMA RAO, Bhavani Shankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC

External co-authors :

Language :

English

Title :

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

Publication date :

2022

Event name :

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

Event place :

Trondheim, Nor

Event date :

20-06-2022 => 23-06-2022

By request :

Yes

Peer reviewed :

Peer reviewed

Source :

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

Additional URL :

http://xplorestaging.ieee.org/ielx7/9827704/9827708/09827819.pdf?arnumber=9827819

FnR Project :

SPRINGER C18/IS/12734677

Funding text :

This work was supported by the Luxembourg National Research Fund (FNR) through the SPRINGER C18/IS/12734677.

Available on ORBilu :

since 23 November 2023

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Bibliography

E. Basar, "Reconfigurable intelligent surface-based index modulation: A new beyond MIMO paradigm for 6G, " IEEE Transactions on Communications, vol. 68, no. 5, pp. 3187-3196, 2020.
J. A. Hodge, K. V. Mishra, and A. I. Zaghloul, "Intelligent time-varying metasurface transceiver for index modulation in 6G wireless networks, " IEEE Antennas and Wireless Propagation Letters, vol. 19, no. 11, pp. 1891-1895, 2020.
M. Di Renzo, A. Zappone, M. Debbah, M.-S. Alouini, C. Yuen, J. de Rosny, and S. Tretyakov, "Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead, " IEEE Journal on Selected Areas in Communications, vol. 38, no. 11, pp. 2450-2525, 2020.
Q. Wu and R. Zhang, "Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network, " IEEE Communications Magazine, vol. 58, no. 1, pp. 106-112, 2020.
C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, "Reconfigurable intelligent surfaces for energy efficiency in wireless communication, " IEEE Transactions on Wireless Communications, vol. 18, no. 8, pp. 4157-4170, 2019.
S. Buzzi, E. Grossi, M. Lops, and L. Venturino, "Radar target detection aided by reconfigurable intelligent surfaces, " IEEE Signal Processing Letters, vol. 28, pp. 1315-1319, 2021.
M. F. Ahmed, K. P. Rajput, N. Venkategowda, K. V. Mishra, and A. K. Jagannatham, "Joint transmit and reflective beamformer design for secure estimation in IRS-aided WSNs, " IEEE Signal Processing Letters, vol. 29, pp. 692-696, 2022.
Z. Esmaeilbeig, K. V. Mishra, and M. Soltanalian, "IRS-aided radar: Enhanced target parameter estimation via intelligent reflecting surfaces, " in IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022, pp. 1-5.
Z. Cheng, Z. He, and B. Liao, "Hybrid beamforming design for OFDM dual-function radar-communication system, " IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 6, pp. 1455-1467, 2021.
K. V. Mishra, A. Chattopadhyay, S. S. Acharjee, and A. P. Petropulu, "OptM3Sec: Optimizing multicast IRS-aided multiantenna DFRC secrecy channel with multiple eavesdroppers, " in IEEE International Conference on Acoustics, Speech and Signal Processing, 2022, pp. 9037-9041.
X. Wang, Z. Fei, Z. Zheng, and J. Guo, "Joint waveform design and passive beamforming for RIS-assisted dual-functional radar-communication system, " IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 5131-5136, 2021.
J. Liu, X. Qian, and M. Di Renzo, "Interference analysis in reconfigurable intelligent surface-assisted multiple-input multiple-output systems, " in IEEE International Conference on Acoustics, Speech and Signal Processing, 2021, pp. 8067-8071.
M. Najafi, V. Jamali, R. Schober, and H. V. Poor, "Physics-based modeling and scalable optimization of large intelligent reflecting surfaces, " IEEE Transactions on Communications, vol. 69, no. 4, pp. 2673-2691, 2021.
Z. Zhou, N. Ge, Z. Wang, and L. Hanzo, "Joint transmit precoding and reconfigurable intelligent surface phase adjustment: A decomposition-aided channel estimation approach, " IEEE Transactions on Communications, vol. 69, no. 2, pp. 1228-1243, 2021.
A. Elzanaty, A. Guerra, F. Guidi, and M.-S. Alouini, "Reconfigurable intelligent surfaces for localization: Position and orientation error bounds, " IEEE Transactions on Signal Processing, vol. 69, pp. 5386-5402, 2021.
Z. Li, M. Hua, Q. Wang, and Q. Song, "Weighted sum-rate maximization for multi-IRS aided cooperative transmission, " IEEE Wireless Communications Letters, vol. 9, no. 10, pp. 1620-1624, 2020.
B. Di, H. Zhang, L. Song, Y. Li, Z. Han, and H. V. Poor, "Hybrid beamforming for reconfigurable intelligent surface based multi-user communications: Achievable rates with limited discrete phase shifts, " IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1809-1822, 2020.
W. Lu, B. Deng, Q. Fang, X. Wen, and S. Peng, "Intelligent reflecting surface-enhanced target detection in MIMO radar, " IEEE Sensors Letters, vol. 5, no. 2, pp. 1-4, 2021.
W. Lu, Q. Lin, N. Song, Q. Fang, X. Hua, and B. Deng, "Target detection in intelligent reflecting surface aided distributed MIMO radar systems, " IEEE Sensors Letters, vol. 5, no. 3, pp. 1-4, 2021.
A. Aubry, A. De Maio, and M. Rosamilia, "Reconfigurable intelligent surfaces for N-LOS radar surveillance, " IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 10 735-10 749, 2021.
W. Brian and R. G. Joseph, Non-line-of-sight radar. Artech House Publishers, 2019.
S. Wei, J. Wei, X. Liu, M. Wang, S. Liu, F. Fan, X. Zhang, J. Shi, and G. Cui, "Nonline-of-sight 3-D imaging using millimeter-wave radar, " IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, 2022.
J. Qian, M. Lops, L. Zheng, X. Wang, and Z. He, "Joint system design for coexistence of MIMO radar and MIMO communication, " IEEE Transactions on Signal Processing, vol. 66, no. 13, pp. 3504-3519, 2018.
T. Wei, L. Wu, and B. Shankar M. R., "Joint waveform and precoding design for coexistence of MIMO radar and MU-MISO communication, " IET Signal Processing, 2022, in press.
K. V. Mishra, B. Shankar M. R., V. Koivunen, B. Ottersten, and S. A. Vorobyov, "Toward millimeter-wave joint radar communications: A signal processing perspective, " IEEE Signal Processing Magazine, vol. 36, no. 5, pp. 100-114, 2019.
T. Tian, T. Zhang, L. Kong, and Y. Deng, "Transmit/receive beamforming for MIMO-OFDM based dual-function radar and communication, " IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 4693-4708, 2021.
Z.-M. Jiang, M. Rihan, P. Zhang, L. Huang, Q. Deng, J. Zhang, and E. M. Mohamed, "Intelligent reflecting surface aided dual-function radar and communication system, " IEEE Systems Journal, pp. 1-12, 2021.
R. S. Prasobh Sankar, B. Deepak, and S. P. Chepuri, "Joint communication and radar sensing with reconfigurable intelligent surfaces, " in 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 471-475.
A. M. Elbir, K. V. Mishra, M. Shankar, and S. Chatzinotas, "The rise of intelligent reflecting surfaces in integrated sensing and communications paradigms, " arXiv preprint arXiv: 2204. 07265, 2022.
R. Liu, M. Li, Y. Liu, Q. Wu, and Q. Liu, "Joint transmit waveform and passive beamforming design for RIS-aided DFRC systems, " IEEE Journal of Selected Topics in Signal Processing, pp. 1-15, 2022.
X. Wang, Z. Fei, J. Huang, and H. Yu, "Joint waveform and discrete phase shift design for RIS-assisted integrated sensing and communication system under cramer-rao bound constraint, " IEEE Transactions on Vehicular Technology, vol. 71, no. 1, pp. 1004-1009, 2022.
Z. Sun and Y. Jing, "On the performance of multi-antenna IRS-assisted NOMA networks with continuous and discrete IRS phase shifting, " IEEE Transactions on Wireless Communications, pp. 1-1, 2021.
T. Wei, L. Wu, K. V. Mishra, and M. R. B. Shankar, "Multiple IRS-assisted wideband dual-function radar-communication, " in IEEE International Symposium on Joint Communications & Sensing, 2022, pp. 1-5.
-, "Simultaneous active-passive beamformer design in IRS-enabled multi-carrier DFRC system, " in European Signal Processing Conference, 2022, pp. 1-5, submitted.
M. Wang, F. Gao, S. Jin, and H. Lin, "An overview of enhanced massive MIMO with array signal processing techniques, " IEEE Journal of Selected Topics in Signal Processing, vol. 13, no. 5, pp. 886-901, 2019.
H. Li, M. Li, Q. Liu, and A. L. Swindlehurst, "Dynamic hybrid beamforming with low-resolution PSs for wideband mmWave MIMOOFDM systems, " IEEE Journal on Selected Areas in Communications, vol. 38, no. 9, pp. 2168-2181, 2020.
A. Charnes and W. W. Cooper, "Programming with linear fractional functionals, " Naval Research Logistics Quarterly, vol. 9, no. 3-4, pp. 181-186, 1962.
A. Aubry, A. De Maio, and M. M. Naghsh, "Optimizing radar waveform and Doppler filter bank via generalized fractional programming, " IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 8, pp. 1387-1399, 2015.
X. Yu, G. Cui, J. Yang, J. Li, and L. Kong, "Quadratic optimization for unimodular sequence design via an ADPM framework, " IEEE Transactions on Signal Processing, vol. 68, pp. 3619-3634, 2020.