Grating Lobe Suppression of Non-Uniform Arrays Based on Position Gradient and Sigmoid Function

Xu, Xiaomin; Liao, Cheng; Zhou, Liang; Peng, Fan

doi:10.1109/access.2019.2932123

Cited by 20 publications

(11 citation statements)

References 23 publications

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“…[6], but weaker than that of Ref. [11]. The main reason is that the elements in the subarray in Ref.…”

Section: Optimisation and Test Resultsmentioning

confidence: 98%

“…The main reason is that the elements in the subarray in Ref. [11] are also optimised to aperiodic arrangement. Although this method enhances the ability of grating lobe suppression, it greatly increases the complexity of the system and the difficulty of engineering.…”

Section: Discussionmentioning

confidence: 99%

“…In Ref. [11], a gradient algorithm based on the phase difference is used to suppress the GL. The element and subarray centre position are optimised, which results in a good GL suppression effect.…”

Section: Introductionmentioning

confidence: 99%

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A grating lobe suppression method for displaced subarrays using genetic algorithm

Yang

Wang

Sun

2022

IET Microwaves Antenna & Prop

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The large‐element‐spacing array is often used to reduce the channels and costs of the phased array. However, it will form grating lobes (GLs) in the visible space, which decrease the performance. The displaced subarray technique has strong GL suppression ability and simple engineering implementation, but its design process is very complex. This paper presents a new parameter design method of variable subarray gaps. The gaps between subarray are optimised using genetic algorithm, and the levels of GL and quantisation lobe (QL) can be minimised simultaneously. This method sets the normalised values of gaps and the maximum gap as optimisation variables, which greatly improves the convergence speed and has strong global optimisation. In addition, a new segmented multimode horn is proposed as the array element. Its influence on GL suppression is also considered in the optimisation process. This method is used to design a prototype with 52 subarrays. The measured results show that the GL level is below −15.9 dB and the QL level is below −24 dB from 16 to 19 GHz, which are in good agreement with the simulation results. It shows that this method has a strong ability to suppress GL and QL levels for wideband applications.

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“…[6], but weaker than that of Ref. [11]. The main reason is that the elements in the subarray in Ref.…”

Section: Optimisation and Test Resultsmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A grating lobe suppression method for displaced subarrays using genetic algorithm

Yang

Wang

Sun

2022

IET Microwaves Antenna & Prop

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show abstract

“…If the value of N is large, the dimension of the search space will become high. Thus, efficient searching method should be used to reduce the calculation complexity [29][30][31].…”

Section: Figure 19 the Point Spread Function Of Optimal Phase Centermentioning

confidence: 99%

Multi-Phase-Center Sidelobe Suppression Method for Circular GBSAR Based on Sparse Spectrum

et al. 2020

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Circular ground-based synthetic aperture radar (GBSAR) is a new type of GBSAR with three-dimensional (3D) imaging capability. Its relatively low bandwidth-to-frequency ratio and donut shaped spectrum cause high sidelobes problem, which seriously affects the quality of SAR images. To solve this problem, a multi-phase-center sidelobe suppression method for circular GBSAR based on sparse spectrum is proposed in this paper. This method optimizes the sparse spectrum distribution of multi-phasecenter circular GBSAR to suppress the originally high sidelobes. In this paper, the signal model of multiphase-center circular GBSAR is established, the point spread function (PSF) is derived, and the relationship between the sparse spectrum distribution and the sidelobe level is also analyzed. Moreover, we provide the optimal distribution of the sparse spectrum, thus the optimal distribution of multiple phase centers can be calculated with given imaging geometry, providing the best sidelobe performance. The proposed method is verified via simulation experiments.

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“…While some authors propose to engineer the element pattern such that radiation towards the arrayfactor-associated grating lobe would be minimized overall [12], [13], [16], this approach requires application-specific design of the active radiators, and is not always easy to apply for scanned array scenarios. Instead, most of the suggested methods use unequally spaced and non uniform excitation strategies to overcome the classical element-density/gratinglobes trade-off, and are generally based on optimization of a nonlinear cost function over some constraints which favor sparse arrays [9]- [11], [14], [15]. Usually, the solution relies on global optimization methods, giving rise to three main issues.…”

Section: Introductionmentioning

confidence: 99%

Metagrating-Assisted High-Directivity Sparse Antenna Arrays For Scanning Applications

Kerzhner¹,

Epstein²

2022

Preprint

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We present an analytical scheme for designing metagrating-enhanced sparse antenna arrays. Unlike previous work, the proposed method does not involve time-consuming cost function optimizations, complex structural manipulations on the active array or demanding computational capabilities. Instead, it merely requires the integration of a passive metagrating (MG) superstrate, a planar periodic arrangement of subwavelength capacitively-loaded wires (meta-atoms), synthesized conveniently via a semianalytical procedure to guarantee suppression of grating lobes in the sparse configuration. Correspondingly, we extend previous formulations to enable excitation of the MG by the active array elements, deriving analytical relations connecting the passive and active element distribution and electrical properties with the scattered fields, eventually allowing resolution of the detailed device configuration leading to optimal directivity. Importantly, considering typical active array applications, the semianalytical synthesis scheme is further developed to take full advantage of the various degrees of freedom in the system, harnessing them to support scanning in a wide range of extreme angles while maintaining a single directive beam. The resultant methodology, verified in simulations to work well also for large finite arrays, offers an original path for mitigating grating lobes in sparse arrays with scanning capabilities, yielding a complete printed-circuit-board compatible design without relying on fullwave optimization.

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Grating Lobe Suppression of Non-Uniform Arrays Based on Position Gradient and Sigmoid Function

Cited by 20 publications

References 23 publications

A grating lobe suppression method for displaced subarrays using genetic algorithm

A grating lobe suppression method for displaced subarrays using genetic algorithm

Multi-Phase-Center Sidelobe Suppression Method for Circular GBSAR Based on Sparse Spectrum

Metagrating-Assisted High-Directivity Sparse Antenna Arrays For Scanning Applications

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