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Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization

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Języki publikacji
EN
Abstrakty
EN
This paper presents a new modified method for the synthesis of non-uniform linear antenna arrays. Based on the recently developed invasive weeds optimization technique (IWO), the modified invasive weeds optimization method (MIWO) uses the mutation process for the calculation of standard deviation (SD). Since the good choice of SD is particularly important in such algorithm, MIWO uses new values of this parameter to optimize the spacing between the array elements, which can improve the overall efficiency of the classical IWO method in terms of side lobe level (SLL) suppression and nulls control. Numerical examples are presented and compared to the existing array designs found in the literature, such as ant colony optimization (ACO), particle swarm optimization (PSO), and comprehensive learning PSO (CLPSO). Results show that MIWO method can be a good alternative in the design of non-uniform linear antenna array.
Rocznik
Strony
5--18
Opis fizyczny
Bibliogr. 32 poz., fig., tab.
Twórcy
autor
  • Institute of Electrical Engineering and Electronics University of M’sila , 28000, Algeria
  • LIS Laboratory, Institute of Electronics University of Setif 1 19000 Setif, Algeria
autor
  • LIS Laboratory, Institute of Electronics University of Setif 1 19000 Setif, Algeria
Bibliografia
  • [1] Godara L.C., Applications of Antenna Arrays to Mobile Communications, Part I: Performance Improvement, Feasibility, and System Considerations. Proceeding of the IEEE 85(7): 1031-1060 (1997).
  • [2] Rupcic S., Mandric V., Zagar D., Reduction of Side lobes by Non uniform Elements Spacing of a Spherical Antenna Array. Radio Engineering 20(1): 299-306 (2011).
  • [3] Abdul Rani K.N., Abdul Malek M.F., Siew-Chin N., Nature-inspired Cuckoo Search Algorithm for Side Lobe Suppression in a Symmetric Linear Antenna Array. Radio Engineering 21(3): 865-874 (2012).
  • [4] Gomez N.G., Rodriguez J.J., Melde K.L., McNeill K.M., Design of Low-Side lobe Linear Arrays With High Aperture Efficiency and Interference Nulls. IEEE Antennas and Wireless Propagation Letters 8(1): 607-610 (2009).
  • [5] Merad L., Bendimerad F.T., Meriah S.D., Controlled Random Search Optimization for Linear Antenna Arrays. Radio Engineering 15(3): 10-14 (2006).
  • [6] Panduro M.A., Design of non-uniform linear phased arrays using Genetic Algorithm to Provide Maximum Interference Reduction Capability in a Wireless Communication System. Journal of the Chinese Institute of Engineers 29(7): 1195-1201 (2006).
  • [7] Elkamchouchi H.M., Saleh G.A., Solution of the non-uniformly spaced array problem using Neural Networks. 17th National Radio Science Conference, Minufia University, Egypt, B21, NRSC’2000: 1-6 (2000).
  • [8] Yan K.K., Lu Y., Side lobe Reduction in Array pattern Synthesis using Genetic Algorithm. IEEE Transactions on Antennas and Propagation 45(7): 1117-1122 (1997).
  • [9] Haupt R.L., Phase-Only Adaptive Nulling with a Genetic Algorithm. IEEE Transaction on Antennas and Propagation 45(6): 1009-1015 (1997).
  • [10] Hussein A.H., Abdullah H.H., Salem A.M. et al., Optimum Design of Linear Antenna Arrays Using a Hybrid MoM/GA Algorithm. IEEE Antennas And Wireless Propagation Letters 10(1): 1232-1235 (2011).
  • [11] Zhang J.Li, M., Shi H., Zheng S., Zhang A., Design and Implementation of an Adaptive Space-Time Antenna Array for GPS Receivers. Archives of Electrical Engineering 69(3-4): 83-87 (2015).
  • [12] Dorigo M., Maniezzo V., Colorni A., Ant System: Optimization by a Colony of Cooperating Agents. IEEE Transactions On Systems, Man, And Cybernetics-Part B Cybernetics 26(1): 29-41 (1996).
  • [13] Iglesias Eva R., Teruel O.Q., Linear array synthesis using an Ant colony optimization based algorithm. IEEE Antennas and propagation Magazine 49(2): 70-79 (2007).
  • [14] Mandal D., Bhattacharjee A.K., Ghoshal S.P., Linear Antenna Array Synthesis Using Improved Particle Swarm Optimization. Second International Conference on Emerging Applications of Information Technology IEEE, pp. 365-368 (2011).
  • [15] Korany R.M., Eladawy M.I., Bansal R. et al., Analysis of Uniform Circular Arrays for Adaptive Beamforming Applications Using Particle Swarm Optimization Algorithm. International Journal of RF and Microwave Computer-Aided Engineering 18(1): 42-52 (2007).
  • [16] Khodier M., Christodoulou C.G., Linear Array geometry synthesis with minimum side lobe level and null control using Particle Swarm Optimization. IEEE transaction on antennas and propagation 53(8): 2674-2679 (2005).
  • [17] Goudos S.K., Moysiadou V., Samaras T. Et al., Application of a Comprehensive Learning particle Swarm Optimizer to unequally spaced linear array synthesis with side lobe level suppression and null control. IEEE antennas and wireless propagation letters 9(1): 125-129 (2010).
  • [18] Pappula L., Ghosh D., Linear Antenna Array Synthesis Using Cat Swarm optimization. International journal of electronics and communications, AEU Journal 68(6): 540-549 (2014).
  • [19] Mehrabian A.R., Lucas C., A Novel Numerical Optimization Algorithm Inspired from Weed Colonization. Ecology Information 1(4): 355-366 (2006).
  • [20] Karimkashi S., Kishk A., Invasive Weed Optimization and its Features in Electromagnetics. IEEE Transactions on Antenna and Propagation 58(4): 1269-1278 (2010).
  • [21] Pal S. et al., Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm. International Conference of Soft Computing and Pattern Recognition, pp.161-166 (2009).
  • [22] Basak A., Pal S., Das S., Abraham A., Circular Antenna Array Synthesis with a Differential Invasive Weed Optimization Algorithm. Tenth International Conference on Hybrid Intelligent Systems, IEEE Conference publication, USA, pp. 153-158 (2010).
  • [23] Basak A., Pal S., Das S. at al., A Modified Invasive Weed Optimization Algorithm for Time-Modulated Linear Antenna Array synthesis. IEEE Congress on Evolutionary Computation, pp. 1-8 (2010).
  • [24] Roshanei M., Lucas C., Mehrabian A.R., Adaptive beamforming using a novel numerical optimization algorithm. IET Microwaves, Antennas & Propagation 3(5): 765-773 (2009).
  • [25] Veenhuis C., Binary Invasive Weed Optimization. Second World Congress on Nature and Biologically Inspired Computing, IEEE, NaBIC’2010, pp. 449-454 (2010).
  • [26] Wang X., Jiao Y., Liu Y., Tan Y., Synthesis Of Large Planar Thinned Arrays Using Iwo-Ift Algorithm. Progress in Electromagnetics Research 136(1): 29-42 (2013).
  • [27] Zhang X., Niu Y., Cui G., Wang Y., A modified invasive weed optimization with crossover operation. 8th World Congress on Intelligent Control and Automation (WCICA), China, pp. 11-14 (2010).
  • [28] Bai Y.Y., Xiao S., Liu C., Wang B.Z., A Hybrid IWO/PSO Algorithm for Pattern Synthesis of Conformal Phased Arrays. IEEE Transactions on antennas and Propagation 61(4): 2328-2332 (2013).
  • [29] Dastranj A., Abiri H., Mallahzadeh A., Design of a Broadband Cosecant Squared Pattern Reflector Antenna Using IWO Algorithm. IEEE Transactions on Antennas and Propagation 61(7): 3895-3900 (2013).
  • [30] Zaharis Z.D., Skeberis C., Xenos T.D. et al., Design of a Novel Antenna Array Beam former Using Neural Networks Trained by Modified Adaptive Dispersion Invasive Weed Optimization Based Data. IEEE Transactions on Broadcasting 59(3): 455-460 (2013).
  • [31] Ghalenoei M.R., Hajimirsadeghi H., Lucas C., Discrete Invasive Weed Optimization Algorithm Application to Cooperative Multiple Task Assignment of UAVs. 48th IEEE conference on decision and control, China, pp. 1665-1670 (2009).
  • [32] Roy G.G., Das S., Chakraborty P., Suganthan P.N., Design of Non-uniform Circular Antenna Arrays Using a Modified Invasive Weed Optimization Algorithm. IEEE Transactions on Antennas and Propagation 59(1): 110-118 (2011).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f1eb55ee-e2f6-489f-993d-92bc501dfce1
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