[1] |
ZENG Z, FU S, ZHANG H, et al. A survey of underwater optical wireless communications[J]. IEEE Communications Survey & Tutorials, 2017, 19(1): 204-238. |
[2] |
DJORDJEVIC I B, VASIC B. Orthogonal frequency division multiplexing for high-speed optical transmission[J]. Optics Express, 2006, 14(9): 3767-3775. doi: 10.1364/OE.14.003767 |
[3] |
BAI J R, LI Y, YANG Y, et al. PAPR reduction based on tone re-servation scheme for DCO-OFDM in door visible light communications[J]. Optics Express, 2017, 25(20): 24630-24638. doi: 10.1364/OE.25.024630 |
[4] |
BAI J R, DAI H, YANG Y, et al. A combinding PAPR reduction method for DCO-OFDM UOWC[EB/OL]. [2018-11-31]. https://ieeexplore.ieee.org/document/8596029. |
[5] |
KAREEM A N, SATAR S M A, HUSEIN M A. Performance improvement of OOFDM systems based on modified A-law companding technique[J]. Journal of Engineering and Applied ences, 2018, 13(13): 4022-4027. |
[6] |
LIU Y, LI Y, SHENG M, et al. Reliability prediction method and application in distribution system based on genetic algorithm-back-propagation neural network[J]. IET Generation Transmission & Distribution, 2019, 13(7): 984-988. |
[7] |
WANG F, YANG Y, DUAN Z L, et al. Characteristic analysis of underwater laser signal transmission channel based on visible light[J]. Optical Communication Technology, 2016, 40(3): 26-28(in Chin-ese). |
[8] |
ARMSTRONG J. OFDM for optical communications[J]. Journal of Lightwave Technology, 2009, 27(1): 189-204. |
[9] |
JIANG T, WU Y. An overview: Peak-to-average power ratio reduction techniques for OFDM signals[J]. IEEE Transactions on Broadcasting, 2008, 54(2): 257-268. doi: 10.1109/TBC.2008.915770 |
[10] |
WANG B, SI Q, JIN M. A novel tone reservation scheme based on deep learning for PAPR reduction in OFDM systems[J]. IEEE Communications Letters, 2020, 24(6): 1271-1274. doi: 10.1109/LCOMM.2020.2980832 |
[11] |
JAMALI M V, MIRANI A, PARSAY A, et al. Statistical studies of fading in underwater wireless optical channels in the presence of air bubble, temperature, and salinity random variations (long version)[J]. IEEE Transactions on Communications, 2018, 66(10): 4706-4723. |
[12] |
MORELLI M, MENGALI U. A comparison of pilot-aided channel estimation methods for OFDM systems[J]. IEEE Transactions on Signal Processing, 2002, 49(12): 3065-3073. |
[13] |
BAGADI K P, DAS S. MIMO-OFDM channel estimation using pilot carries[J]. International Journal of Computer Applications, 2010, 2(3): 81-88. doi: 10.5120/638-893 |
[14] |
BASHEER I A, HAJMEER M N. Artificial neural networks: fundamentals, computing, design, and application[J]. Journal of Microbiological Methods, 2000, 43(1): 3-31. doi: 10.1016/S0167-7012(00)00201-3 |
[15] |
HAO Z, KEFA C, JIANBO M. combing neural network and genetic algorithms to optimize low NOx pulverized coal combustion[J]. Fuel, 2001, 80(15): 2163-2169. doi: 10.1016/S0016-2361(01)00104-1 |
[16] |
SUPRAJA P, GAYATHRI V M, PITCHAI R. Optimized neural network for spectrum prediction using genetic algorithm in cognitive radio networks[J]. Cluster Computing, 2018, 22(1): 157-163. |
[17] |
DISSANAYAKE S D, ARMSTRONG J. Comparison of ACO-OFDM, DCO-OFDM and ADO-OFDM in IM/DD systems[J]. Journal of Lightwave Technology, 2013, 31(7): 1063-1072. doi: 10.1109/JLT.2013.2241731 |
[18] |
HE F T, WANG M, YANG Y. Analysis of spatial transmission characteristics of laser beam in seawater [J]. Laser & Infrared, 2018, 48(11): 28-33(in Chinese). |
[19] |
HUANG A P, ZHANG Y L, TAO L W. Monte Carlo simulation on channel characteristics of underwater laser communications [J]. Infrared and Laser Engineering, 2017, 46(4): 219-224(in Chinese). |