A Sar Autofocus Algorithm Based on Particle Swarm Optimization

Lim, Theam Soon; Koo, Voon Chet; Ewe, Hong Tat; Chuah, H. T.

doi:10.2528/pierb07102501

Cited by 29 publications

(24 citation statements)

References 12 publications

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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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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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“…All the encountered positions (γ, δ) of the particles are evaluated by this fitness function to represent how well the particles satisfy the parameters. The implementation steps of PSO algorithm can be found in [13]. In order to obtain higher estimation accuracy, we perform the (γ, δ) estimation at several slow times, and the mean of estimated values will become the final result.…”

Section: Barrage Jamming Suppressionmentioning

confidence: 99%

Novel Jamming Suppression Method Using Polarization Sar Data

Lin¹,

Xue²,

Liu³

2014

PIER C

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Abstract-Barrage and deceptive jamming can mask the synthetic aperture radar (SAR) signals and render SAR useless. In this paper, a novel jamming suppression method based on polarization SAR (PolSAR) is proposed. After range compression, the barrage jamming has a noise-like characteristic while the real echo and deceptive jamming are focused. According to this, the barrage jamming is removed via a minimum entropy algorithm. Based on the different polarization characteristics between deceptive jamming and the real echo, the deceptive jamming can be suppressed by phase compensation in doppler domain. Simulation results are shown to demonstrate the validity of the proposed method.

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“…In 1995, Kennedy and Eberhart firstly introduced particle swarm optimization (PSO), which is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms [3][4][5][6][7][8][9][10][11][12]. The PSO algorithm is based on a social-psychological principle.…”

Section: Pso Algorithmmentioning

confidence: 99%

Pso-Based Fast Optimization Algorithm for Broadband Ayyray Antenna by Using the Cubic Spline Interpolation

Li¹,

Sun²,

Qi-zhong³

et al. 2008

PIER Letters

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Abstract-This paper describes a fast pattern synthesis method for a broadband array antenna using the particle swarm optimization (PSO) and cubic spline interpolation (CSI). Being an indispensable part of a high speed space-division communication system, the array antenna operates in a wide frequency band (200-400 MHz) and has stable patterns with 60-degree half power beam width (HPBW) in the whole frequency band. Firstly, by establishing a versatile objective function, the complex excitations of the circular array at the selected seven frequency points are determined via the PSO algorithm. Then, the complex excitations of the circular array at arbitrary frequency points in the whole working frequency band are calculated effectively using the CSI method. A uniform circular array with six broadband dipole elements is examined. The broadband patterns with 60-degree HPBW and the accuracy of the interpolation method are demonstrated.

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A Sar Autofocus Algorithm Based on Particle Swarm Optimization

Cited by 29 publications

References 12 publications

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

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

Novel Jamming Suppression Method Using Polarization Sar Data

Pso-Based Fast Optimization Algorithm for Broadband Ayyray Antenna by Using the Cubic Spline Interpolation

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