Thinning a Subset of Selected Elements for Null Steering Using Binary Genetic Algorithm

Mohammed, Jafar Ramadhan

doi:10.2528/pierm18021604

Cited by 25 publications

(23 citation statements)

References 26 publications

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“…As we have shown in the previous section, the practical implementation of the feeding network in the electronically null steering methods is a real challenging issue, especially when dealing with large arrays. To solve this problem, many researchers, for example, see [22][23][24][25][26], proposed to mechanically control the spacing between the array elements instead of electronically controlling the amplitude and/ or phase excitations to achieve the required null steering. However, in practice, these fully nonuniform spaced arrays have also some disadvantages and difficulties to build.…”

Section: Mechanical Null Steering Methodsmentioning

confidence: 99%

“…To overcome these problems and make them more amendable in practice, some researchers, for example, see [22][23][24][25], have found that the required nulls can be introduced by controlling the positions of only selected elements rather than controlling the positions of all elements.…”

Section: Mechanical Null Steering Methodsmentioning

confidence: 99%

“…The method presented in [20] is further extended to obtain multiple wide nulls by properly selecting and optimizing the most effective elements in the array [21]. Wide nulls were also obtained by turning off some selected elements in the uniformly spaced linear arrays by means of binary genetic algorithm [22]. In all of those pervious works, the null steering was performed electronically by controlling the amplitude and phase excitations of the array elements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sidelobe Nulling by Optimizing Selected Elements in the Linear and Planar Arrays

Mohammed¹,

Sayidmarie²

2019

Array Pattern Optimization

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Currently, there are significant interests in the antenna arrays that are composed of a large number of elements controlled by an appropriate optimizer for the next generation of wireless communication systems, where the massive multiple-inputs multiple-outputs (MIMO) systems are expected to play a major role in such systems. On the other hand, the interfering signals which are expected to rise dramatically in these applications due to the crowded spectrum represent a real challenging issue that limits and causes great degradation in their performances. To achieve an optimum performance, these antenna arrays should be optimized and designed to have maximum gain, narrow beam width, and very low sidelobes or deep nulls. Toward achieving this goal, the overall array performance can be either electronically controlling the design parameters, such as amplitude and/or phase excitations of the individual elements, or mechanically controlling the element positions. This chapter discusses techniques proposed for sidelobe nulling by optimizing the excitations and positions of selected elements in the linear and planar arrays.

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Section: Mechanical Null Steering Methodsmentioning

confidence: 99%

Section: Mechanical Null Steering Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sidelobe Nulling by Optimizing Selected Elements in the Linear and Planar Arrays

Mohammed¹,

Sayidmarie²

2019

Array Pattern Optimization

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“…Generally, null steering can be achieved by controlling the amplitude-only weighting [1][2][3][4], phase-only weighting [5][6][7][8][9][10][11][12], and complex (both amplitude and phase) weighting [13][14][15][16][17][18] of array elements excitations. It can also be achieved by controlling the separation distances between array elements [19,20].…”

Section: Introductionmentioning

confidence: 99%

Phase-Only Nulling With Limited Number of Controllable Elements

Abdulqader¹,

Mohammed²,

Thaher³

2020

PIER C

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In this paper, the required array patterns with controlled nulls are obtained by optimizing only the excitation phases of a small number of elements on both sides of the array. A genetic algorithm is used to appropriately find which elements of the array to be optimized and also to find the required number of the excitation phases. The performance of the proposed phase-only method is compared with some other exciting methods, and it is found to be competitive, fulfil all the desired radiation characteristics, and represent a good solution for interference mitigation. Moreover, the proposed phaseonly array is designed and validated under realistic electromagnetic effects using CST full wave modeling. Experimental results are found in a good agreement with the theoretical ones and show realistic array patterns with accurate nulls.

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“…By properly controlling the design parameters of the antenna arrays, it is possible to generate the desired radiation characteristics such as higher directivity and lower sidelobe level. The most design parameters that have been given an increased attention for many practical applications are the amplitude and the phase excitations of the individual elements [1][2][3] in addition to the element's spacing [4,5]. However, the practical implementation of the feeding networks in such arrays is known to be very complex and expensive.…”

Section: Introductionmentioning

confidence: 99%

Radiation Pattern Synthesis of Planar Arrays Using Parasitic Patches Fed by a Small Number of Active Elements

Mohammed¹,

Younus²

2020

Modern Printed-Circuit Antennas

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In this chapter, several planar array designs based on the use of a small number of the active elements located at the center of the planar array surrounded by another number of the uniformly distributed parasitic elements are investigated. The parasitic elements are used to modify the radiation pattern of the central active elements. The overall radiation pattern of the resulting planar array with a small number of active elements is found to be comparable to that of the fully active array elements with a smaller sidelobe level (SLL) at the cost of a relatively wider beamwidth and lower directivity. Nevertheless, the uses of only a small number of the active elements provide a very simple feeding network that reduces the cost and the complexity of the array. Simulation results which have been computed using computer simulation technology-microwave studio (CST-MWS) show that the sidelobe level of the designed array pattern with parasitic elements is considerably better than that of the similar fully active array elements. The proposed array can be effectively and efficiently used in the applications that require wider antenna beams.

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Thinning a Subset of Selected Elements for Null Steering Using Binary Genetic Algorithm

Cited by 25 publications

References 26 publications

Sidelobe Nulling by Optimizing Selected Elements in the Linear and Planar Arrays

Sidelobe Nulling by Optimizing Selected Elements in the Linear and Planar Arrays

Phase-Only Nulling With Limited Number of Controllable Elements

Radiation Pattern Synthesis of Planar Arrays Using Parasitic Patches Fed by a Small Number of Active Elements

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