Millimeter Wave Antenna Design Based on Fast Swarm Intelligence Algorithm
Funds:
The National Science and Technology Major Project of China (2016ZX03002010-004)
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摘要: 針對毫米波天線阻抗不匹配的問題,該文提出基于粒子群蟻群(Particle Swarm Ant Colony Optimization, PSACO)的天線貼片參數(shù)優(yōu)化算法,利用蟻群算法的信息素引導機制獲得粒子群算法的最優(yōu)貼片長、寬及饋電位置;并采用模糊決策綜合評價模型(Fuzzy Decision-Making Comprehensive Evaluation, FD-MCE)求解毫米波天線的地面開槽位置,實現(xiàn)帶寬擴展。對28.0 GHz中心頻率進行設計與仿真,結果證明所提方法能有效且快速實現(xiàn)毫米波天線阻抗匹配,保證諧振頻率與中心頻率的一致,且在開槽面積不大于接地面總面積30%時帶寬可擴展約33%,回波損耗特性也得到明顯改善。所提算法具有計算復雜度低,收斂速度快的優(yōu)點。Abstract: Considering the problem of mismatched impedance of millimeter wave antenna, an algorithm based on Particle Swarm Ant Colony Optimization (PSACO) is proposed to optimize antenna patch parameters and the pheromone guidance mechanism of the ant colony algorithm is used to obtain the patch length, width and feed position optimized by the particle swarm algorithm. The Fuzzy Decision-Making Comprehensive Evaluation (FD-MCE) model is used to solve the ground slotted position of the millimeter wave antenna to realize the bandwidth expansion . For the designed and simulated 28.0 GHz center frequency, the results show that the proposed method can effectively and quickly realize the impedance matching of millimeter wave antenna, and the resonant frequency is exactly the same as the center frequency. When the slot area is not greater than the total area of 30% of the ground, the bandwidth can be extended about 33%, and the return loss characteristics are also significantly improved. The proposed algorithm has the advantages of low computational complexity and fast convergence.
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POZAR D M, TARGONAKI S D, and SYRIGOS H D. Design of millimeter wave microstrip reflectarrays[J]. IEEE Transactions on Antennas Propagation, 1997, 45(2): 287-296. doi: 10.1109/8.560348. VERMA S, MAHAJAN L, KUMER R, et al. A small microstrip patch antenna for future 5G applications[C]. IEEE Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2016: 460-463. XING Yaxin, CHEN Yueyun, L Chen, et al. Swarm intelligence-based power allocation and relay selection algorithm for wireless cooperative network[J]. KSII Transactions on Internet Information Systems, 2016, 10(3): 1111-1130. doi: 10.3837/tiis.2016.03.009. VILOVIC I, BURUM N, and BRAILO M. Microstrip antenna design using neural networks optimized by PSO[C]. IEEE Applied Electromagnetics and Communications (ICECom), Dubrovnik, Croatia, 2013: 1-4. SHELOKAR P S, SIARRY P, JAYARAMAN V K, et al. Particle swarm and ant colony algorithms hybridized for improved continuous optimization[J]. Applied Mathematics Computation, 2007, 188(1): 129-142. doi: 10.1016/j.amc.2006. 09.098. HE S, WU Q H, WEN J Y, et al. A particle swarm optimizer with passive congregation[J]. Biosystems, 2004, 78(1): 135-147. doi: 10.1016/j.biosystems.2004.08.003. CHEN Yueyun, JIAN Rongling, MA Shuaishuai, et al. A research for millimeter wave patch antenna and array synthesis[C]. IEEE Wireless and Optical Communication Conference (WOCC), Newark, NJ, USA, 2017: 1-4. MYTHILI P, MRIDUL S, PAUL B, et al. Design of a compact genetic microstrip antenna with improved performance[C]. IEEE Antennas and Propagation Society International Symposium, San Diego, CA, USA, 2008: 1-4. CARVER K and MINK J. Microstrip antenna technology[J]. IEEE Transactions on Antennas Propagation, 1981, 29(1): 2-24. doi: 10.1109/TAP.1981.1142523. 張晨, 曹祥玉, 高軍, 等. 低RCS寬帶磁電偶極子貼片天線設計[J]. 電子與信息學報, 2016, 38(4): 1012-1016. doi: 10.11999 /JEIT150897. ZHANG Cheng, CAO Xiangyu, GAO Jun, et al. Low Radar cross section and broadband magneto-electric dipole patch antenna[J]. Journal of Electronics Information Technology, 2016, 38(4): 1012-1016. doi: 10.11999/JEIT150897. KRAUS J D and MARHEFKA R J. Antenna for all applications[J]. Upper Saddle River, NJ: McGraw Hill, 2002. 田雨波, 董躍. 基于神經網(wǎng)絡集成的微帶天線諧振頻率建模[J]. 電波科學學報, 2009, 24(4): 610-616. doi: 10.3969/j.issn. 1005-0388.2009.04.006. TIAN Yubo and DONG Yue. Modeling resonant frequency of microstrip antenna based on neural network ensemble[J]. Chinese Journal of Radio Science, 2009, 24(4): 610-616. doi: 10.3969/j.issn.1005-0388.2009.04.006. SINGH J, KAUR A, KAUR J, et al. High gain textilem microstrip patch antenna design employing denim substrate for Ku band satellite applications[C]. 2016 International Conference on Control, Computing, Communication and Materials (ICCCCM), Allahbad, India, 2016: 1-5. 李明洋, 劉敏, 楊放. HFSS天線設計[M]. 北京: 電子工業(yè)出版社, 2011, 第4章. MILLIGAN T A. Modern Antenna Design[M]. McGraw Hill Higher Education, John Wiley Sons, 2005, Chapter 5. ZHAO F and CHEN J L. Optimum decision-making of extended enterprise based on analytical hierarchy process and fuzzy comprehensive evaluation[C]. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), Dengfeng, China, 2011: 2240-2243. 孫志彬, 楊小禮, 黃阜. 基于模糊數(shù)學和粒子群算法的邊坡參數(shù)反分析[J]. 華南理工大學學報(自然科學版), 2011, 39(6): 137-141. doi: 10.3969/j.issn.1000-565X.2011.06.24. SUN Zhibin, YANG Xiaoli, and HUANG Fu. Back analysis of slope parameters based on fuzzy mathematics and particle swarm optimization[J]. Journal of South China University of Technology (Natural Science Edition), 2011, 39(6): 137-141. doi: 10.3969/j.issn.1000-565X.2011.06.24. -
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