Interference Reduction Design for Improved Multitarget Detection in ISAC Systems
Abstract: The advancement of wireless communication systems toward 5G and beyond is spurred by the demand for high data rates, exceedingly dependable low-latency communication, and extensive connectivity that aligns with sensing requisites such as advanced high-resolution sensing and target detection. Consequently, embedding sensing into communication has gained considerable attention. In this work, we propose an alternative approach for optimizing integrated sensing and communication (ISAC) waveform for target detection by concurrently maximizing the power of the communication signal at an intended user and minimizing the multi-user and sensing interference. We formulate the problem as a non-disciplined convex programming (NDCP) optimization and we use a distribution-based approach for interference cancellation. Precisely, we establish the distribution of the communication signal and the multi-user communication interference received by the intended user, and thereafter, we establish that the sensing interference can be distributed as a centralized Chi-squared if the sensing covariance matrix is idempotent. We design such a matrix based on the symmetrical idempotent property. Additionally, we propose a disciplined convex programming (DCP) form of the problem, and using successive convex approximation (SCA), we show that the solutions can reach a stable waveform for efficient target detection. Furthermore, we compare the proposed waveform with state of the art radar-communication waveform designs and demonstrate its superior performance by computer simulations.
- M. Almekhlafi, M.A. Arfaoui, C. Assi, and A. Ghrayeb, “Joint resource and power allocation for URLLC-eMBB traffics multiplexing in 6G wireless networks,” Proc. IEEE International Conference on Communications, pp. 1–6, 2021.
- A. Bazzi and M. Chafii, “On integrated sensing and communication waveforms with tunable papr,” IEEE Transactions on Wireless Communications, 2023.
- C. Xu, B. Clerckx, and J. Zhang, “Multi-antenna joint radar and communications: Precoder optimization and weighted sum-rate vs probing power tradeoff,” IEEE Access, vol. 8, pp. 173 974–173 982, 2020.
- W. Rowe, P. Stoica, and J. Li, “Spectrally constrained waveform design [sp tips&tricks],” IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 157–162, 2014.
- B. Tang and J. Liang, “Efficient algorithms for synthesizing probing waveforms with desired spectral shapes,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 3, pp. 1174–1189, 2019.
- L. Zheng, M. Lops, X. Wang, and E. Grossi, “Joint design of overlaid communication systems and pulsed radars,” IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 139–154, 2018.
- M. Delamou, G. Noubir, S. Dang, and E.M. Amhoud, “An efficient OFDM-based monostatic radar design for multitarget detection,” IEEE Access, vol. 11, pp. 135 090–135 105, 2023.
- M. Delamou, A. Bazzi, M. Chafii, and E.M. Amhoud, “Deep learning-based estimation for multitarget radar detection,” Proc. IEEE 97th Vehicular Technology Conference (VTC2023-Spring), pp. 1–5, 2023.
- J. Li and P. Stoica, “Mimo radar with colocated antennas,” IEEE Signal Processing Magazine, vol. 24, no. 5, pp. 106–114, 2007.
- B. Tang and J. Li, “Spectrally constrained mimo radar waveform design based on mutual information,” IEEE Transactions on Signal Processing, vol. 67, no. 3, pp. 821–834, 2019.
- Z. Wang, Y. Liu, X. Mu, and Z. Ding, “NOMA inspired interference cancellation for integrated sensing and communication,” Proc. ICC 2022 - IEEE International Conference on Communications, pp. 3154–3159, 2022.
- F. Liu, L. Zhou, C. Masouros, A. Li, W. Luo, and A. Petropulu, “Toward dual-functional radar-communication systems: Optimal waveform design,” IEEE Transactions on Signal Processing, vol. 66, no. 16, pp. 4264–4279, 2018.
- F. Liu, C. Masouros, A. Li, H. Sun, and L. Hanzo, “MU-MIMO communications with MIMO radar: From co-existence to joint transmission,” IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp. 2755–2770, 2018.
- X. Liu, T. Huang, N. Shlezinger, Y. Liu, J. Zhou, and Y.C. Eldar, “Joint transmit beamforming for multiuser MIMO communications and MIMO radar,” IEEE Transactions on Signal Processing, vol. 68, pp. 3929–3944, 2020.
- H. Hua, J. Xu, and T.X. Han, “Optimal transmit beamforming for integrated sensing and communication,” IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 10 588–10 603, 2023.
- P. Stoica, J. Li, and Y. Xie, “On probing signal design for mimo radar,” IEEE Transactions on Signal Processing, vol. 55, no. 8, pp. 4151–4161, 2007.
- G. Zheng, S. Ma, K.k. Wong, and T.S. Ng, “Robust beamforming in cognitive radio,” IEEE Transactions on Wireless Communications, vol. 9, no. 2, pp. 570–576, 2010.
- F.A. Graybill and M. George, “Idempotent matrices and quadratic forms in the general linear hypothesis.” The Annals of Mathematical Statistics 28, vol. 28, no. 3, p. 678–86, 1957.
- C.W. Harris, “The symmetrical idempotent matrix in factor analysis,” The Journal of Experimental Education, vol. 19, no. 03, pp. 239–246, 1951.
- L. Vandenberghe and S. Boyd, “Semidefinite programming,” SIAM Review, vol. 38, no. 1, pp. 49–95, 1996.
- B. Arindam, K. Shahin, and S. Mojtaba, “Efficient waveform covariance matrix design and antenna selection for mimo radar,” Signal Processing, vol. 183, p. 107985, 2021.
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