Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm
This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operate...
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| Vydané v: | Open Geosciences Ročník 11; číslo 1; s. 542 - 548 |
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| Hlavní autori: | , , , , |
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| Jazyk: | English |
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Warsaw
De Gruyter
01.01.2019
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
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| ISSN: | 2391-5447, 2391-5447 |
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| Abstract | This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and was developed primarily for collision avoidance. Since AIS is a one-way communication system which does not need to consider the target echo signal, it can estimate the atmospheric refractivity profile more accurately. Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm. In order to test the anti-noise ability of the QPSO algorithm, the synthetic AIS signal power with different Gaussian noise levels is utilized to invert the surface-based duct. Simulation results indicate that the QPSO algorithm can invert the surface-based duct using AIS signal power accurately, which verify the feasibility of the new atmospheric refractivity estimation method based on the automatic identification system. |
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| AbstractList | This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and was developed primarily for collision avoidance. Since AIS is a one-way communication system which does not need to consider the target echo signal, it can estimate the atmospheric refractivity profile more accurately. Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm. In order to test the anti-noise ability of the QPSO algorithm, the synthetic AIS signal power with different Gaussian noise levels is utilized to invert the surface-based duct. Simulation results indicate that the QPSO algorithm can invert the surface-based duct using AIS signal power accurately, which verify the feasibility of the new atmospheric refractivity estimation method based on the automatic identification system. |
| Author | Tang, Wenlong Ren, Xichuang Tian, Bin Cha, Hao Wei, Min |
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| Cites_doi | 10.1109/4235.985692 10.2528/PIER12110104 10.2528/PIERM11020602 10.1002/2016RS005998 10.1016/j.cnsns.2016.08.001 10.4103/0256-4602.64601 10.1162/EVCO_a_00049 10.1017/S0373463302002072 |
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| References | Yang, C.; Zhang, J.K.; Guo, L.X. (j_geo-2019-0044_ref_005) 2016; 2016 Karimian, A.; Yardim, C.; Gerstoft, P.; Hodgkiss, W.S.; Barrios, A.E. (j_geo-2019-0044_ref_007) 2011; 46 Fountoulakis, V.; Earls, C. (j_geo-2019-0044_ref_004) 2016; 51 Sirkova, I. (j_geo-2019-0044_ref_018) 2012; 2 Gerstoft, P.; Rogers, L.T.; Krolik, J.K. (j_geo-2019-0044_ref_002) 2003; 38 Rehman, O.U.; Yang, J.Q.; Zhou, Q.; Yang, S.Y.; Khan, S. (j_geo-2019-0044_ref_020) 2017; 54 Yang, C. (j_geo-2019-0044_ref_015) 2013; 135 Fang, W.; Sun, J.; Ding, Y.R.; Wu, X.J.; Xu, W.B. (j_geo-2019-0044_ref_012) 2010; 27 Yang, C.; Guo, L.X. (j_geo-2019-0044_ref_006) 2018; 2018 Sirkova, I. (j_geo-2019-0044_ref_001) 2011; 17 Creech, J.A.; Ryan, J.F. (j_geo-2019-0044_ref_008) 2003; 56 Sun, J.; Fang, W.; Wu, X.J.; Palade, V.; Xu, W.B. (j_geo-2019-0044_ref_013) 2012; 20 Liu, T.Y.; Jiao, L.C.; Ma, W.P.; Shang, R.H. (j_geo-2019-0044_ref_023) 2017; 44 Yardim, C.; Gerstoft, P.; Hodgkiss, W.S. (j_geo-2019-0044_ref_003) 2009; 44 Clerc, M.; Kennedy, J. (j_geo-2019-0044_ref_022) 2002; 6 (ref211) 2002; 6 (ref301) 2003; 56 (ref101) 2004 (ref21) 2009; 44 (ref291) 2011; 46 (ref11) 2003; 38 (ref201) 1995 (ref241) 2003; 38 (ref321) 2011 (ref391) 2012 (ref261) 2016; 51 (ref191) 2017; 54 (ref141) 2013; 135 (ref221) 2017; 44 (ref271) 2016; 2016 (ref431) 1995 (ref451) 2017; 44 (ref181) 2016 (ref251) 2009; 44 (ref111) 2010; 27 (ref161) 2012 (ref341) 2010; 27 (ref371) 2013; 135 (ref01) 2011; 17 (ref31) 2016; 51 (ref91) 2011 (ref281) 2018; 2018 (ref71) 2003; 56 (ref331) 2004 (ref401) 2012; 2 (ref381) 2000 (ref51) 2018; 2018 (ref441) 2002; 6 (ref61) 2011; 46 (ref121) 2012; 20 (ref411) 2016 (ref231) 2011; 17 (ref41) 2016; 2016 (ref171) 2012; 2 (ref151) 2000 (ref351) 2012; 20 (ref421) 2017; 54 |
| References_xml | – volume: 44 start-page: 167 year: 2017 end-page: 183 ident: j_geo-2019-0044_ref_023 article-title: Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems publication-title: Commun. Nonlinear Sci – volume: 38 start-page: 1 year: 2003 end-page: 22 ident: j_geo-2019-0044_ref_002 article-title: Inversion for refractivity parameters from radar sea clutter publication-title: Radio Sci – volume: 2018 start-page: 1 year: 2018 end-page: 9 ident: j_geo-2019-0044_ref_006 article-title: Inferring the atmospheric duct from radar sea clutter using the improved artificial bee colony algorithm publication-title: Int. J. Microw. Wirel. T – volume: 2 start-page: 19 issue: 1 year: 2012 end-page: 38 ident: j_geo-2019-0044_ref_018 article-title: Brief review on PE method application to propagation channel modeling in sea environment publication-title: Cent. Eur. J. Eng – volume: 44 start-page: 1 year: 2009 end-page: 16 ident: j_geo-2019-0044_ref_003 article-title: Sensitivity analysis and performance estimation of refractivity from clutter techniques publication-title: Radio Sci – volume: 6 start-page: 58 issue: 1 year: 2002 end-page: 73 ident: j_geo-2019-0044_ref_022 article-title: The particle swarm: Explosion, stability and convergence in a multidimentional complex space publication-title: IEEE T. Evolut. Comput – volume: 17 start-page: 151 year: 2011 end-page: 166 ident: j_geo-2019-0044_ref_001 article-title: Propagation factor and path loss simulation results for two rough surface reflection coefficients applied to the microwave ducting propagation over the sea publication-title: Prog. Electromagn. Res. M – volume: 27 start-page: 336 issue: 4 year: 2010 end-page: 348 ident: j_geo-2019-0044_ref_012 article-title: A review of quantum behaved particle swarm optimization publication-title: IETE Tech. Rev – volume: 56 start-page: 31 year: 2003 end-page: 44 ident: j_geo-2019-0044_ref_008 article-title: AIS: The cornerstone of national security? J publication-title: Navigation – volume: 51 start-page: 1614 year: 2016 end-page: 1626 ident: j_geo-2019-0044_ref_004 article-title: Duct heights inferred from radar sea clutter using proper orthogonal bases publication-title: Radio Sci – volume: 46 start-page: 1 year: 2011 end-page: 16 ident: j_geo-2019-0044_ref_007 article-title: Refractivity estimation from sea clutter: An invited review publication-title: Radio Sci – volume: 135 start-page: 183 year: 2013 end-page: 199 ident: j_geo-2019-0044_ref_015 article-title: Estimation of the atmospheric duct from radar sea clutter using artificial bee colony optimization algorithm publication-title: Prog. Electromagn. Res – volume: 54 start-page: 107 year: 2017 end-page: 121 ident: j_geo-2019-0044_ref_020 article-title: A modified QPSO algorithm applied to engineering inverse problems in electromagnetic publication-title: Int. J. Appl. Electrom – volume: 2016 start-page: 1 year: 2016 end-page: 10 ident: j_geo-2019-0044_ref_005 article-title: Investigation on the inversion of the atmospheric duct using the artificial bee colony algorithm based on opposition-based learning publication-title: Int. J. Antenn. Propag – volume: 20 start-page: 349 issue: 3 year: 2012 end-page: 393 ident: j_geo-2019-0044_ref_013 article-title: Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection publication-title: Evol. Comput – volume-title: Parabolic Equation Methods for Electromagnetic Wave Propagation year: 2000 ident: ref381 – volume: 2 start-page: 19 year: 2012 ident: ref171 article-title: Brief review on PE method application to propagation channel modeling in sea environment publication-title: Cent. Eur. J. Eng – volume: 6 start-page: 58 year: 2002 ident: ref211 article-title: The particle swarm: Explosion, stability and convergence in a multidimentional complex space publication-title: IEEE T. Evolut. Comput doi: 10.1109/4235.985692 – year: 2011 ident: ref91 article-title: VHF propagation study publication-title: DRDC Atlantic CR 2011–152, Defence Research & Development Canada – Atlantic – volume: 135 start-page: 183 year: 2013 ident: ref141 article-title: Estimation of the atmospheric duct from radar sea clutter using artificial bee colony optimization algorithm publication-title: Prog. Electromagn. Res doi: 10.2528/PIER12110104 – volume: 17 start-page: 151 year: 2011 ident: ref01 article-title: Propagation factor and path loss simulation results for two rough surface reflection coefficients applied to the microwave ducting propagation over the sea publication-title: Prog. Electromagn. Res. M doi: 10.2528/PIERM11020602 – volume: 44 start-page: 1 year: 2009 ident: ref21 article-title: Sensitivity analysis and performance estimation of refractivity from clutter techniques publication-title: Radio Sci – year: 2011 ident: ref321 article-title: VHF propagation study publication-title: DRDC Atlantic CR 2011–152, Defence Research & Development Canada – Atlantic – start-page: 1942 year: 1995 ident: ref201 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, Perth, WA, Australia, 27 Nov. –1 Dec – volume: 46 start-page: 1 year: 2011 ident: ref61 article-title: Refractivity estimation from sea clutter: An invited review publication-title: Radio Sci – volume-title: Modeling tropospheric radiowave propagation over rough sea surfaces using the parabolic equation Fourier split-step method. Master thesis year: 2012 ident: ref161 – volume: 2016 start-page: 1 year: 2016 ident: ref41 article-title: Investigation on the inversion of the atmospheric duct using the artificial bee colony algorithm based on opposition-based learning publication-title: Int. J. Antenn. Propag – volume: 51 start-page: 1614 year: 2016 ident: ref31 article-title: Duct heights inferred from radar sea clutter using proper orthogonal bases publication-title: Radio Sci doi: 10.1002/2016RS005998 – start-page: 1942 year: 1995 ident: ref431 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, Perth, WA, Australia, 27 Nov. –1 Dec – start-page: 325–331 year: 2004 ident: ref331 article-title: Particle swarm optimization with particles having quantum behavior publication-title: Proceedings of the 2004 Congress on Evolutionary Computation, Portland, OR, USA, 19–23 June – volume: 2018 start-page: 1 year: 2018 ident: ref281 article-title: Inferring the atmospheric duct from radar sea clutter using the improved artificial bee colony algorithm publication-title: Int. J. Microw. Wirel. T – volume: 44 start-page: 167 year: 2017 ident: ref221 article-title: Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems publication-title: Commun. Nonlinear Sci doi: 10.1016/j.cnsns.2016.08.001 – volume: 27 start-page: 336 year: 2010 ident: ref111 article-title: A review of quantum behaved particle swarm optimization publication-title: IETE Tech. Rev doi: 10.4103/0256-4602.64601 – volume: 135 start-page: 183 year: 2013 ident: ref371 article-title: Estimation of the atmospheric duct from radar sea clutter using artificial bee colony optimization algorithm publication-title: Prog. Electromagn. Res doi: 10.2528/PIER12110104 – volume: 44 start-page: 1 year: 2009 ident: ref251 article-title: Sensitivity analysis and performance estimation of refractivity from clutter techniques publication-title: Radio Sci – start-page: 325–331 year: 2004 ident: ref101 article-title: Particle swarm optimization with particles having quantum behavior publication-title: Proceedings of the 2004 Congress on Evolutionary Computation, Portland, OR, USA, 19–23 June – volume: 20 start-page: 349 year: 2012 ident: ref351 article-title: Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection publication-title: Evol. Comput doi: 10.1162/EVCO_a_00049 – volume: 2 start-page: 19 year: 2012 ident: ref401 article-title: Brief review on PE method application to propagation channel modeling in sea environment publication-title: Cent. Eur. J. Eng – volume: 38 start-page: 1 year: 2003 ident: ref11 article-title: Inversion for refractivity parameters from radar sea clutter publication-title: Radio Sci – volume: 51 start-page: 1614 year: 2016 ident: ref261 article-title: Duct heights inferred from radar sea clutter using proper orthogonal bases publication-title: Radio Sci doi: 10.1002/2016RS005998 – volume: 17 start-page: 151 year: 2011 ident: ref231 article-title: Propagation factor and path loss simulation results for two rough surface reflection coefficients applied to the microwave ducting propagation over the sea publication-title: Prog. Electromagn. Res. M doi: 10.2528/PIERM11020602 – volume-title: Modeling tropospheric radiowave propagation over rough sea surfaces using the parabolic equation Fourier split-step method. Master thesis year: 2012 ident: ref391 – volume: 6 start-page: 58 year: 2002 ident: ref441 article-title: The particle swarm: Explosion, stability and convergence in a multidimentional complex space publication-title: IEEE T. Evolut. Comput doi: 10.1109/4235.985692 – volume: 27 start-page: 336 year: 2010 ident: ref341 article-title: A review of quantum behaved particle swarm optimization publication-title: IETE Tech. Rev doi: 10.4103/0256-4602.64601 – volume: 46 start-page: 1 year: 2011 ident: ref291 article-title: Refractivity estimation from sea clutter: An invited review publication-title: Radio Sci – volume: 2016 start-page: 1 year: 2016 ident: ref271 article-title: Investigation on the inversion of the atmospheric duct using the artificial bee colony algorithm based on opposition-based learning publication-title: Int. J. Antenn. Propag – volume: 56 start-page: 31 year: 2003 ident: ref71 article-title: AIS: The cornerstone of national security? J publication-title: Navigation doi: 10.1017/S0373463302002072 – volume: 2018 start-page: 1 year: 2018 ident: ref51 article-title: Inferring the atmospheric duct from radar sea clutter using the improved artificial bee colony algorithm publication-title: Int. J. Microw. Wirel. T – volume-title: Parabolic Equation Methods for Electromagnetic Wave Propagation year: 2000 ident: ref151 – volume: 38 start-page: 1 year: 2003 ident: ref241 article-title: Inversion for refractivity parameters from radar sea clutter publication-title: Radio Sci – volume-title: On propagation effects in maritime situation awareness: Modelling the impact of North Sea weather conditions on the performance of AIS and coastal radar systems. Master thesis year: 2016 ident: ref411 – volume: 44 start-page: 167 year: 2017 ident: ref451 article-title: Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems publication-title: Commun. Nonlinear Sci doi: 10.1016/j.cnsns.2016.08.001 – volume: 54 start-page: 107 year: 2017 ident: ref421 article-title: A modified QPSO algorithm applied to engineering inverse problems in electromagnetic publication-title: Int. J. Appl. Electrom – volume: 56 start-page: 31 year: 2003 ident: ref301 article-title: AIS: The cornerstone of national security? J publication-title: Navigation doi: 10.1017/S0373463302002072 – volume-title: On propagation effects in maritime situation awareness: Modelling the impact of North Sea weather conditions on the performance of AIS and coastal radar systems. Master thesis year: 2016 ident: ref181 – volume: 20 start-page: 349 year: 2012 ident: ref121 article-title: Quantum-behaved particle swarm optimization: Analysis of individual particle behavior and parameter selection publication-title: Evol. Comput doi: 10.1162/EVCO_a_00049 – volume: 54 start-page: 107 year: 2017 ident: ref191 article-title: A modified QPSO algorithm applied to engineering inverse problems in electromagnetic publication-title: Int. J. Appl. Electrom |
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| SubjectTerms | Algorithms automatic identification system Collision avoidance Communications systems Identification systems Noise levels Optimization algorithms quantum-behaved particle swarm optimization algorithm Refractivity refractivity estimation surface-based duct |
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| Title | Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm |
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