ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Beam alignments based on the spectrum decomposition of orbital angular momentums for acoustic-vortex communications |
Gepu Guo(郭各朴)1, Xinjia Li(李昕珈)2, Qingdong Wang(王青东)3, Yuzhi Li(李禹志)1, Qingyu Ma(马青玉)1,†, Juan Tu(屠娟)4, and Dong Zhang(章东)4 |
1 School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China; 2 Haiying Enterprise Group Co., Ltd., Wuxi 214061, China; 3 College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China; 4 Institute of Acoustics, Nanjing University, Nanjing 210093, China |
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Abstract Given the enhanced channel capacity of wave chirality, acoustic communications based on the orbital angular momentum (OAM) of acoustic-vortex (AV) beams are of significant interest for underwater data transmissions. However, the stringent beam alignment is required for the coaxial arrangement of transceiver arrays to ensure the accuracy and reliability of OAM decoding. To avoid the required multiple measurements of the traditional orthogonality based algorithm, the beam alignment algorithm based on the OAM spectrum decomposition is proposed for AV communications by using simplified ring-arrays. Numerical studies of the single-OAM and OAM-multiplexed AV beams show that the error of the OAM spectrum increases with the translation distance and the deflection angle of the transceiver arrays. To achieve an ideal arrangement, two methods of the single-array translation alignment and the dual-array deflection alignment are developed based on the least standard deviation of the OAM spectrum (SD-OAM). By decreasing the SD-OAM towards zero using transceiver arrays of 16 transmitters and 16 receivers, accurate beam alignments are accomplished by multiple adjustments in three dimensions. The proposed method is also demonstrated by experimental measurements of the OAM dispersion and the SD-OAM for misaligned beams. The results demonstrate the feasibility of the rapid beam alignment based on the OAM spectrum decomposition by using simplified transceiver ring-arrays, and suggest more application potentials for acoustic communications.
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Received: 07 January 2022
Revised: 06 March 2022
Accepted manuscript online: 20 April 2022
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PACS:
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43.72.+q
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(Speech processing and communication systems)
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43.60.+d
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(Acoustic signal processing)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11934009, 11974187, and 12174198). |
Corresponding Authors:
Qingyu Ma
E-mail: maqingyu@njnu.edu.cn
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Cite this article:
Gepu Guo(郭各朴), Xinjia Li(李昕珈), Qingdong Wang(王青东), Yuzhi Li(李禹志), Qingyu Ma(马青玉), Juan Tu(屠娟), and Dong Zhang(章东) Beam alignments based on the spectrum decomposition of orbital angular momentums for acoustic-vortex communications 2022 Chin. Phys. B 31 124302
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[1] Nye J and Berry M 1974 Proc. R. Soc. A 336 165 [2] Riaud A, Baudoin M, Bou Matar O, Becerra L and Thomas J 2017 Phys. Rev. Appl. 7 024007 [3] Courtney C, Demore C, Wu H, Grinenko A, Wilcox P, Cochran S and Drinkwater B 2014 Appl. Phys. Lett. 104 154103 [4] Baresch D, Thomas J and Marchiano R 2013 J. Appl. Phys. 113 184901 [5] Skeldon K, Wilson C, Edgar M and Padgett M 2008 New J. Phys. 10 013018 [6] Kang S and Yeh C 2010 IEEE T. Ultrason. Ferr. Freq. Contr. 57 1451 [7] Thomas J and Marchiano R 2003 Phys. Rev. Lett. 91 244302 [8] Marchiano R, Coulouvrat F, Ganjehi L and Thomas J 2008 Phys. Rev. E 77 016605 [9] Allen L, Beijersbergen M, Spreeuw R and Woerdman J 1992 Phys. Rev. A 45 8185 [10] Li Y, Lee C, Chen R, Zhou Q and Shung K 2014 Appl. Phys. Lett. 105 173701 [11] Chen K, Wu M, Guo F, Li P, Chan C, Mao Z, Li S, Ren L, Zhang R and Huang T 2016 Lab Chip. 16 2636 [12] Yao A and Padgett M 2011 Adv. Opt. Photon. 3 161 [13] Lu X, Huang H, Zhao C, Wang J and Chen H 2008 Laser Optoelectron. Prog. 45 50 [14] Hefner B and Marston P 1999 J. Acoust. Soc. Am. 106 3340 [15] Marston T and Marston P 2009 J. Acoust. Soc. Am. 126 2187 [16] Marston T and Marston P 2010 J. Acoust. Soc. Am. 127 1856 [17] Zhang H and Yang J 2019 arXiv:1902.10196 [18] Jiang X, Li Y, Liang B, Cheng J and Zhang L 2016 Phys. Rev. Lett. 117 034301 [19] Jiang X, Liang B, Cheng J and Qiu C 2018 Adv. Mater. 30 1800257 [20] Li X, Li Y, Ma Q, Guo G, Tu J and Zhang D 2020 J. Appl. Phys. 127 124902 [21] Guo G, Li X, Wang Q, Li Y, Chu H, Ma Q, Tu J and Zhang D 2021 IEEE T. Ultrason. Ferr. Freq. Contr. 68 1399 [22] Anzolin G, Tamburini F, Bianchini A and Barbieri C 2009 Phys. Rev. A 79 033845 [23] Zhao P, Li S K, Wang Y, Feng X, Cui K Y, Zhang W and Huang Y D 2017 Sci. Rep. 7 7873 [24] Shin D, Park E, Kang J, Myung J and Kang J 2014 IEEE 79th VTC Seoul, Kerea [25] Hu Y, Zheng S, Zhang Z, Chi H, Jin X and Zhang X 2016 Proc. IET Microw. Antennas P. 10 1043 [26] Basar E 2018 IEEE T. Wirel. Commun. 17 2029 [27] Chen R, Xu H, Moretti M and Li J 2018 IEEE T. Wirel. Commun. Lett. 7 582 [28] Yang L, Ma Q, Tu J and Zhang D 2013 J. Appl. Phys. 113 154904 [29] Li W, Dai S, Ma Q, Guo G and Ding H 2018 Chin. Phys. B 27 024301 [30] Li Y, Li W, Ma Q, Guo G, Tu J and Zhang D 2018 J. Appl. Phys. 124 114901 [31] Jiang Y, Wang S, Ou J and Tang H 2013 Acta Phys. Sin. 62 214201 (in Chinese) [32] Molina-Terriza G, Torres J and Torner L 2001 Phys. Rev. Lett. 88 013601 [33] Ren C, Du Y, Lv H, Liu X and Zhu Y J 2019 Laser Infrared 49 1311 [34] Berkhout G, Lavery M, Padgett M and Beijersbergen M 2011 Opt. Lett. 36 1863 [35] Kim J and Song M 2016 7th ICTC, Jeju, South Kerea 969 [36] Xie G, Li L, Ren Y, Huang H, Yan Y, Ahmed N and Bock R 2015 Optica 2 357 [37] Vasnetsov M, Pas'ko V and Soskin M 2005 New J. Phys. 7 46 [38] Lin J, Yuan X, Chen M and Dainty J 2010 J. Opt. Soc. Am. A 27 2337 [39] Yang Q, Liu Y, Chen M, Wang L and B Zheng J 2019 Journal of Signal Processing 35 178 [40] Anzolin G, Tamburini F, Bianchini A and Barbieri C 2009 Phys. Rev. A 79 033845 [41] Liu F, Jiang W, Jin X and Xu Z 2018 Proc. SPIE 17th ICOCN2018, ZhuHai, China, 110481H |
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