Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Wang, Xin-Kuan; Jiao, Yong‐Chang; Liu, Yan; Tan, Yan Yan

doi:10.2528/pier12102001

Cited by 13 publications

(12 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the large number of elements, the CVX cannot handle this problem anymore. As a comparison, the PSLLs in the PSO and the IWO-IFT [26] are −26.92 dB with 730 and −27.13 dB with 694 elements, respectively. The PSLLs are much worse than the array comes from the proposed method.…”

Section: Minimize the Psll For A Concentric Circular Arraymentioning

confidence: 99%

“…On the contrary, the CVX cannot be applied on this case because of the large array size is too large. The result from the IWO-IFT [26] has a PSLL of −25.61 dB with 772 elements. The simulation shows the proposed method has a better performance on PSLL, and the null control in concentric circular array.…”

Section: Psll Minimum and Null Control For A Concentric Circular Arraymentioning

confidence: 99%

See 1 more Smart Citation

A Hybrid Optimization for Pattern Synthesis of Large Antenna Arrays

Liu¹,

Zhao²,

Yang³

et al. 2014

PIER

View full text Add to dashboard Cite

Abstract-The pattern synthesis for large antenna arrays has drawn significant attention because of its wide applications. This paper introduces a hybrid approach for the fast pencil beam pattern synthesis of the large non-uniform linear or planar array, which can significantly reduce the computational cost, the number of antenna in the array, the minimum sidelobe level and the null control. The proposed method has an iterative scheme which is composed of the nonuniform Fourier transform (NUFFT) and the global optimization method to minimize the peak sidelobe level and control the null. The NUFFT is utilized to determine excitation magnitudes for a fixed positions non-uniform array. Alternatively, the global optimization is used to find the optimal positions which lead to the minimum peak sidelobe level ( PSL). The lower excitations can be deleted due to yielding less performance on sidelobe level, which is called the array removal strategy. Compare with conventional methods, the simulations on synthetic models show that a minimum sidelobe level and null control can be obtained in processing sparse linear and concentric circular antenna arrays more efficiently.

show abstract

Section: Minimize the Psll For A Concentric Circular Arraymentioning

confidence: 99%

Section: Psll Minimum and Null Control For A Concentric Circular Arraymentioning

confidence: 99%

A Hybrid Optimization for Pattern Synthesis of Large Antenna Arrays

Liu¹,

Zhao²,

Yang³

et al. 2014

PIER

View full text Add to dashboard Cite

show abstract

“…Various optimization methods have been reported to synthesize sparse circular arrays in [14][15][16][17][18][19][20][21][22], including analytical techniques and evolutionary algorithms. In [14] and [15], the vector mapping (VM) method and matrix mapping method were used to handle complicated constraints for linear and planar arrays, respectively.…”

Section: Introductionmentioning

confidence: 99%

Multiple-Constraint Synthesis of Rotationally Symmetric Sparse Circular Arrays Using a Hybrid Algorithm

Wang¹,

Jiao²

2019

PIER M

Self Cite

View full text Add to dashboard Cite

Rotationally symmetric sparse circular arrays are synthesized under multiple constraints. By combining the modified differential evolution algorithm based on the harmony search (in short HSDE) with the vector mapping (VM) method, a hybrid algorithm, called VM-HSDE, is proposed for synthesizing sparse circular arrays with low sidelobe levels. Due to the array's specific geometry, the number of optimization variables is reduced, and the constrained optimization problem is simplified. Moreover, infeasible solutions are avoided, and the problem is effectively solved by the VM-HSDE algorithm. Finally, three pattern optimization results verify the effectiveness and reliability of the VM-HSDE algorithm.

show abstract

“…Mainly, the IWO method has been used for real continuous problems, but a binary version has also been applied [25]. Recently, a developed hybrid IWO with iterative Fourier technique (IWO-IFT) has been also proposed for the synthesis of a large planar thinned array [26]. Some other hybrid versions of IWO are also applied to the design of antenna arrays in [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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

Kenane

Djahli

2016

Archives of Electrical Engineering

View full text Add to dashboard Cite

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.

show abstract

Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Cited by 13 publications

References 25 publications

A Hybrid Optimization for Pattern Synthesis of Large Antenna Arrays

A Hybrid Optimization for Pattern Synthesis of Large Antenna Arrays

Multiple-Constraint Synthesis of Rotationally Symmetric Sparse Circular Arrays Using a Hybrid Algorithm

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

Contact Info

Product

Resources

About