Millimeter Wave Microstrip Antenna Design Based on Swarm Intelligence Algorithm in 5G

Jian, Rongling; Chen, Yueyun; Cheng, Yuanyang; Zhao, Yongxu

doi:10.1109/glocomw.2017.8269196

Cited by 7 publications

(7 citation statements)

References 10 publications

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“…In ICA, some imperialist countries accompanied by colonies seeking a public optimal point are desinged to find the optima within solution space. As a positive feedback algorithm, ACO uses the pheromone guidance mechanism to obtain a global optimum [10]. However, the solution of ICA is easy to fall into a local optimum.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…It can be seen that the best S 11 is attained by F 2 . Setting l i (i = 1, 2, 3) are 0.487mm, 0.600mm and 0.92mm by [10] and [12], respectively. The baisc patch parameters (l, w, p, l 1 , l 2 , l 3 ) are finally ensured to (3.800, 3.914, 1.964, 0.487, 0.600, 0.920).…”

Section: Optimization Of Basic Patch Parametersmentioning

confidence: 99%

“…In addition, EM simulation software has been replaced by artificial NN and supported vector machine to achieve antenna automation design [8], [9]. However, the smaller the step of parameter adjusts, the longer computation cost takes, and the result is usually inaccurate [10].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Jian

Chen

2019

IEEE Access

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In this paper, a novel hybrid iterative algorithm based on imperial competition algorithm (ICA) and Ant Colony Optimization (ACO) is proposed to achieve multi-parameters unified-optimization of millimeter wave (mmWave) microstrip antenna. After assimilation of ICA, the pheromone guidance mechanism is added to update the position of ant, which avoids the ICA solution falling into a local optimum. Two input impedance models of microstrip antenna are solved by different algorithms, which show the proposed algorithm (ICACO) converges faster than three compared algorithms. The multi-parameters unified-optimization of mmWave microstrip antenna under the operation of TM 10 and TM 02 modes is carried out by ICACO to enhance impedance bandwidth and improve bore-sight gain. The proposed algorithm is applicable in antenna multi-parameters design problems as a reliable approach with faster convergence rate.INDEX TERMS Millimeter wave (MmWave) antenna, unified-optimization, imperial competition algorithm (ICA), ant colony optimization (ACO).

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Section: Proposed Algorithmmentioning

confidence: 99%

Section: Optimization Of Basic Patch Parametersmentioning

confidence: 99%

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Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Jian

Chen

2019

IEEE Access

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“…Nevertheless, the smaller the step of parameter adjustment is set, the longer computation cost takes, and the result always is inaccurate. 21 In this article, a novel design method for mmWave linear antenna array is proposed to improve the gain and bandwidth while reducing sidelobe level. The four identical array elements by loading slots and shorting pin are taken account into the linear array using series feed network.…”

Section: Introductionmentioning

confidence: 99%

“…[]. Nevertheless, the smaller the step of parameter adjustment is set, the longer computation cost takes, and the result always is inaccurate …”

Section: Introductionmentioning

confidence: 99%

Efficient design of compact millimeter wave microstrip linear array with bandwidth enhancement and sidelobe reduction

Jian¹,

Chen²,

Chen³

et al. 2019

Int J RF Microw Comput Aided Eng

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In this article, a novel linear mmWave antenna array with series‐feed network is proposed to enhance the bandwidth and reduce sidelobe level without increasing the patch size. The proposed linear array is consisted of four identical wideband array elements, which are all under operation TM10 and TM02 modes by loading shorting pin and rectangular slots. Additionally, through loading symmetry circle‐shaped slots for the four elements, impedance matching of linear array is achieved. Furthermore, multi‐parameters unified‐optimization (MPUO) based on imperial competition algorithm (ICA) is proposed to uniformly optimize all linear array parameters. To verify this design, the proposed linear array is fabricated with a small patch area of 7.5 × 3.914 × 0.254 mm3. The measured results show that the bandwidth is enhanced to 2.05GHz, which is 0.57GHz wider than that of simulation. The simulated peak gain reaches 13dBi while the sidelobe level is reduced to about −19 dB at 28.6GHz. Moreover, the computation cost using MPUO is reduced by 98.12% compared with that of independent parameters optimization.

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A Novel Design for Millimeter Wave Microstrip Antenna with Bandwidth Enhancement

Jian

Chen

et al. 2018

2018 IEEE Student Conference on Research and Development (SCOReD)

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Millimeter Wave Microstrip Antenna Design Based on Swarm Intelligence Algorithm in 5G

Cited by 7 publications

References 10 publications

Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Efficient design of compact millimeter wave microstrip linear array with bandwidth enhancement and sidelobe reduction

A Novel Design for Millimeter Wave Microstrip Antenna with Bandwidth Enhancement

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