Improved Ga and Pso Culled Hybrid Algorithm for Antenna Array Pattern Synthesis

Li, Wentao; Shi, Xiaowei; Xu, Le; Hei, Yongqiang

doi:10.2528/pier07121503

Cited by 47 publications

(31 citation statements)

References 25 publications

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“…Table 2 shows complete matching between both results, taking into consideration that the optimization process in [25] was done using a Genetic Algorithm (GA). Using a GA, gives very efficient optimization at exploring the entire space, but it is relatively poor in feeding the precise local optimal solution in region where the algorithm converges [26]. As a result, the validity of our simulation method is obtained, and at the same time it gets more efficient optimization process than GA process.…”

Section: Design Of Our Adaptive Modelmentioning

confidence: 63%

3.5/5 GHz DUAL-BAND 8 x 8 ADAPTIVE ARRAY ANTENNA

Soliman¹,

Taha²,

Swelam³

et al. 2013

PIER C

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Abstract-In this paper, 4G smart planar dual-band phased array antenna suitable for fourth generation (4G) Long Term Evolution (LTE) at 3.5 GHz and also Wireless Local Area Network (WLAN) at 5 GHz systems is developed. The proposed planar array antenna is built using a microstrip rectangular U-slotted patch antenna element. Single element and linear sub-arrays with 1 × 2 and 1 × 4 dimensions of this element are designed, fabricated, and measured by the same authors. Separate feeding technique is used for each element of the smart planar array antenna; such that full beam-shaping can be achieved by steering the pattern main-loop to different angles in both azimuth and elevation directions with different amplitudes. Beam steering up to ±22 degrees can be achieved in both azimuth and elevation direction at 60 degree phase shift without the presence of any grating lobes. At this value of phase shift, the gain is 22.62 dBi without changing in the mutual coupling. This is also suitable for 4G Multiple-Input Multiple-Output (MIMO) wireless mobile applications with reduced power consumption. Design simulation and optimization processes are carried out with the aid of the Agilent Advanced Design System (ADS) electromagnetic simulator that uses the fullwave Method of Moment (MoM) numerical technique.

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Section: Design Of Our Adaptive Modelmentioning

confidence: 63%

3.5/5 GHz DUAL-BAND 8 x 8 ADAPTIVE ARRAY ANTENNA

Soliman¹,

Taha²,

Swelam³

et al. 2013

PIER C

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“…SLL(θ, ϕ) and SLL 0 represent respectively the obtained and desired the side-lobe level of each beam, and k 1 , k 2 are weighting coefficients to control the importance of the items described in the above equation. Appropriate weighting coefficients could make all the parameter of DBF array optimized [17][18][19][20][21]. Utilizing the 16 × 61 = 976 complex phase and amplitude excitation coefficients calculated by GA, the simulated radiation pattern of 16-beam DBF array is depicted in Fig.…”

Section: Radiation Pattern Synthesis Of Shamentioning

confidence: 99%

Development of 61-Channel Digital Beamforming (Dbf) Transmitter Array for Mobile Satellite Communication

Li¹,

Gong²,

Liu³

et al. 2009

PIER

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Abstract-An 61-channel digital beamforming transmitter array antenna used in mobile satellite communication is presented in this paper.It can steer 16 beams simultaneously. The interface, architecture and subunits are described in detail. Standard hexagonal array (SHA) and 61-channel RF front ends are designed. Genetic Algorithm is adopted to realize the pattern synthesis with mutiobjective optimization. The signal flow and hardware platform of the digital beamforming network are discussed, which can complete the high speed array signal processing with maximum throughput of 34.16 Gbps. A novel calibration scheme with high feasibility of project implementation is also proposed. The measurements of array antenna match well with simulation result, which validates the rationality and feasibility of the algorithms.

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“…This algorithm has been used in solving different engineering problems [35][36][37][38][39][40][41][42][43][44][45][46][47]. In this paper, to the best of our knowledge, for the first time we propose the PSO algorithm instead of GA to optimize EDFAs.…”

Section: Introductionmentioning

confidence: 99%

A Novel Design Approach for Erbium-Doped Fiber Amplifiers by Particle Swam Optimization

Mowla¹,

Granpayeh²

2008

PIER M

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Abstract-A novel design approach for erbium-doped fiber amplifiers is proposed based on particle swarm optimization algorithm. The main six parameters of the EDFAs including: pumping wavelength, input signal power, fiber numerical aperture, erbium-doped area radius, erbium concentration, and the fiber length are optimized utilizing a fast and efficient method called particle swarm optimization algorithm. In this paper, a combination of fiber amplifier bandwidth, gain, and flatness are taken into account as objective function and the results are presented for different pump powers. Our investigation shows that particle swarm optimization algorithm outperforms genetic algorithm in convergence speed, straightforwardness, and coping with highdimensional spaces, when the parameters of EDFA are to be optimized. It has been shown that the required time for the optimization of the fiber amplifier parameters is reduced four times by using particle swarm optimization algorithm, compared to genetic algorithm method.

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Improved Ga and Pso Culled Hybrid Algorithm for Antenna Array Pattern Synthesis

Cited by 47 publications

References 25 publications

3.5/5 GHz DUAL-BAND 8 x 8 ADAPTIVE ARRAY ANTENNA

3.5/5 GHz DUAL-BAND 8 x 8 ADAPTIVE ARRAY ANTENNA

Development of 61-Channel Digital Beamforming (Dbf) Transmitter Array for Mobile Satellite Communication

A Novel Design Approach for Erbium-Doped Fiber Amplifiers by Particle Swam Optimization

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