毫米波通感一体化中的混合波束赋形算法

doi:10.12305/j.issn.1001-506X.2023.05.28

Abstract

Abstract:

In order to solve the problem of high complexity of hybrid beamforming matrix in millimeter-wave (mmWave) integrated sensing and communication (ISAC) system, a low complexity algorithm is proposed to balance the performance of communication and radar perception. Firstly, an auxiliary matrix is introduced to ensure the consistency of full-digital beamforming matrix dimensions between communication and radar, and a solution method is designed to improve the tradeoff performance. Based on the above results, the analog and digital beamforming matrices are designed under constant modulus and power constraints to minimize the weighted sum of Euclidean distance between the analog and digital beamforming matrices and the communication and radar all-digital beamforming matrices. For the established optimization problem, a weighting-orthogonal matching pursuit (W-OMP) algorithm is proposed to solve it. Simulation analysis shows that the proposed algorithm can effectively generate beams towards to the detection targets while maintaining the communication performance.

Key words: integrated sensing and communication (ISAC), hybrid beamforming, millimeter-wave (mmWave), othogonal matching pursuit (OMP), low complexity

CLC Number:

TN929.5

Xiaohui LI, Huanyang LI, Siting LYU, Mingli SHI. Hybrid beamforming algorithm in mmWave integrated sensing and communication[J]. Systems Engineering and Electronics, 2023, 45(5): 1512-1517.

Figures/Tables 5

References 30

1	方子希. 面向多车互联的感知通信一体化信号设计与性能分析[D]. 北京: 北京邮电大学, 2021.
	FANG Z X. Integrated signal design and performance analysis of perceptual communication for multi-vehicle interconnection[D]. Beijing: Beijing University of Posts and Telecommunications, 2021.
2	李玲香, 谢郁馨, 陈智, 等. 面向6G的太赫兹通信感知一体化[J]. 无线电通信技术, 2021, 47 (6): 698- 705.
	LI L X , XIE Y X , CHEN Z , et al. Terahertz integrated sensing and communication for 6G[J]. Radio Communications Technology, 2021, 47 (6): 698- 705.
3	STURM C , WIESBECK W . Waveform design and signal processing aspects for fusion of wireless communications and radar sensing[J]. Proceedings of the IEEE, 2011, 99 (7): 1236- 1259. doi: 10.1109/JPROC.2011.2131110
4	LIU F , CUI Y H , MASOUROS C , et al. Integrated sensing and communications: towards dual-functional wireless networks for 6G and beyond[J]. IEEE Journal on Selected Areas in Communications, 2022, 40 (6): 1728- 1767. doi: 10.1109/JSAC.2022.3156632
5	NAQVI S H R , HO P H . Achieving 5G NR mmWave indoor coverage under integrated access backhaul[J]. IEEE Systems Journal, 2021, 15 (4): 5429- 5439. doi: 10.1109/JSYST.2021.3053550
6	RAI P K , IDSØE H , YAKKATI R R , et al. Localization and acti-vity classification of unmanned aerial vehicle using mmWave FMCW radars[J]. IEEE Sensors Journal, 2021, 21 (14): 16043- 16053. doi: 10.1109/JSEN.2021.3075909
7	VOOK F W, THOMAS T A, VISOTSKY E. Massive MIMO for mmWave systems[C]//Proc. of the 48th IEEE Asilomar Conference on Signals, Systems and Computers, 2014: 820-824.
8	TIRASPOLSKY S, JEON B J, KIM J, et al. mmWave SVD-based beamformed MIMO communication systems[C]//Proc. of the 7th IEEE Consumer Communications and Networking Conference, 2010.
9	LIU F, MASOUROS C. Joint beamforming design for extended target estimation and multiuser communication[C]//Proc. of the IEEE Radar Conference, 2020.
10	LIU X , HUANG T Y , SHLEZINGER N , et al. Joint transmit beamforming for multiuser MIMO communications and MIMO radar[J]. IEEE Trans.on Signal Processing, 2020, 68, 3929- 3944. doi: 10.1109/TSP.2020.3004739
11	景小荣, 张思思. 毫米波大规模MIMO-NOMA系统中基于动态子连接混合结构的预编码设计[J]. 系统工程与电子技术, 2021, 43 (12): 3716- 3724.
	JING X R , ZHANG S S . Precoder design based on dynamically sub-connected hybrid architecture in millimeter wave massive MIMO-NOMA systems[J]. Systems Engineering and Electro-nics, 2021, 43 (12): 3716- 3724.
12	林英超. 毫米波通信中混合波束赋形技术研究[D]. 西安: 西安电子科技大学, 2017.
	LIN Y C. Research on hybrid beamforming technology in millimeter wave communication[D]. Xi'an: Xidian University, 2017.
13	YU X , SHEN J C , ZHANG J , et al. Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10 (3): 485- 500. doi: 10.1109/JSTSP.2016.2523903
14	LIU Y, ZHANG Y, WANG X Q, et al. Hybrid precoding in massive antenna multi-user system with modified hybrid connected structure[C]//Proc. of the 13th International Symposium on Antennas, Propagation and EM Theory, 2021.
15	LIU F , MASOUROS C , PETROPULU A P , et al. Joint radar and communication design: applications, state-of-the-art, and the road ahead[J]. IEEE Trans.on Communications, 2020, 68 (6): 3834- 3862. doi: 10.1109/TCOMM.2020.2973976
16	LIU F, MASOUROS C. Hybrid beamforming with sub-arrayed MIMO radar: enabling joint sensing and communication at mmWave band[C]//Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2019: 7770-7774.
17	ZHANG D D , WANG Y F , LI X H , et al. Hybridly connected structure for hybrid beamforming in mmWave massive MIMO systems[J]. IEEE Trans.on Communications, 2017, 66 (2): 662- 674.
18	WANG M J , GAO F F , SHLEZINGER N , et al. A block sparsity based estimator for mmWave massive MIMO channels with beam squint[J]. IEEE Trans.on Signal Processing, 2019, 68, 49- 64.
19	GAO Z , HU C , DAI L L , et al. Channel estimation for millimeter-wave massive MIMO with hybrid precoding over frequency-selective fading channels[J]. IEEE Communications Letters, 2016, 20 (6): 1259- 1262. doi: 10.1109/LCOMM.2016.2555299
20	GONZALEZ-PRELCIC N, MENDEZ-RIAL R, HEATH R W. Radar aided beam alignment in mmWave V2I communications supporting antenna diversity[C]//Proc. of the Information Theory and Applications Workshop, 2016.
21	AKDENIZ M R , LIU Y P , SAMIMI M K , et al. Millimeter wave channel modeling and cellular capacity evaluation[J]. IEEE Journal on Selected Areas in Communications, 2014, 32 (6): 1164- 1179. doi: 10.1109/JSAC.2014.2328154
22	LI J , STOICA P . MIMO radar signal processing[M]. Hoboken, New Jersey: Wiley, 2008.
23	HASSANIEN A , VOROBYOV S A . Transmit energy focusing for DOA estimation in MIMO radar with colocated antennas[J]. IEEE Trans.on Signal Processing, 2011, 59 (6): 2669- 2682. doi: 10.1109/TSP.2011.2125960
24	CHENG Z Y , LIAO B , HE Z S , et al. Joint design of the transmit and receive beamforming in MIMO radar systems[J]. IEEE Trans.on Vehicular Technology, 2019, 68 (8): 7919- 7930. doi: 10.1109/TVT.2019.2927045
25	XIAO Z Y , ZHU L P , LIU Y M , et al. A survey on millimeter-wave beamforming enabled UAV communications and networking[J]. IEEE Communications Surveys & Tutorials, 2022, 24 (1): 557- 610.
26	LIYANAARACHCHI S D, BARNETO C B, RⅡHONEN T, et al. Joint multi-user communication and MIMO radar through full-duplex hybrid beamforming[C]//Proc. of the 1st IEEE International Online Symposium on Joint Communications & Sensing, 2021.
27	GUERCI J R, GUERCI R M, LACKPOUR A, et al. Joint design and operation of shared spectrum access for radar and communications[C]//Proc. of the IEEE Radar Conference, 2015: 761-766.
28	QI C H , CI W , ZHANG J M , et al. Hybrid beamforming for millimeter wave MIMO integrated sensing and communications[J]. IEEE Communications Letters, 2022, 26 (5): 1136- 1140. doi: 10.1109/LCOMM.2022.3157751
29	VIKLANDS T. Algorithms for the weighted orthogonal procrustes problem and other least squares problems[D]. Sweden: Umea universitet, 2006.
30	AYACH O E , RAJAGOPAL S , ABU-SURRA S , et al. Spatially sparse precoding in millimeter wave MIMO systems[J]. IEEE Trans.on Wireless Communications, 2014, 13 (3): 1499- 1513. doi: 10.1109/TWC.2014.011714.130846

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Hybrid beamforming algorithm in mmWave integrated sensing and communication

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