Side lobe level suppression in a thinned linear antenna array using particle swarm optimization

Gangwar, V. S.; Singh, Anil Kumar; Thomas, Elvy; Singh, Saumya

doi:10.1109/icatcct.2015.7456989

Cited by 18 publications

(5 citation statements)

References 12 publications

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“…The result from the work achieved sparsity and reduced SLL compared to other previous works but with poor recovery rate due to a significant mismatch at the top of the mainlobe. Further research work studied the use of genetic algorithm (GA) to compute the optimum arrangement of non-uniformly spaced antenna elements for the purpose of suppressing SLL using the inter-element spacing was used as the variable [11]. The result from the work had a better suppressed SLL.…”

Section: Paper Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of sparse randomly spaced linear antenna array using hybrid iteratively reweighted least squares

Mustapha¹,

Sani²,

Abubilal³

2021

Nig. J. Tech.

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Uniformly Spaced Antenna Array (USAA) with large radiating elements is characterized with complex feed network as well as high sidelobes level (SLL) leading to interference and power wastage. To solve these problems, research works have been carried out using different methodologies, to synthesize sparse Randomly Spaced An- tenna Array (RSAA) to reconstruct the desired radiation pattern using fewer radiating elements and suppressed SLL. In this paper, a deterministic Iteratively Reweighted Least Squares (IRLS) algorithm based on the concept of compressed sensing was used to achieve better sparsity through thinning. The SLL was also suppressed using Convex Technique (CT). The performance of the synthesized array was evaluated in terms of sparsity and SLL. Simulation results showed that it has a higher sparsity of 12 elements with SLL of -39.44dB which are 14.29% and 28.72% improvements, respectively compared to previous research work with 14 elements and SLL of -30.64dB.

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Section: Paper Reviewmentioning

confidence: 99%

“…For a 2N number of antenna elements that are placed symmetrically, the total radiation in the far field for the linear antenna array can be expressed mathematically as [10,11]:…”

mentioning

confidence: 99%

Optimization of sparse randomly spaced linear antenna array using hybrid iteratively reweighted least squares

Mustapha¹,

Sani²,

Abubilal³

2021

Nig. J. Tech.

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“…In 2006, Universidad Carlos III de Madrid proposed the ACO as a useful alternative in the thinned array design, using the side lobe level (SLL) as the desirability parameter [13]. In 2015, in order to generate radiation patterns with reduced peak side lobe level (PSLL) in a thinned linear antenna array, [14] introduced the PSO to estimate the optimum combination of "on" and "off" elements for high possible peak SLL. In 2018, Cummings et al proposed the information theory performance indicators of narrow-band STAR imaging arrays and divided these arrays into transmit and receive apertures through detailed testing of possible partitions and the application of GA [15,16].…”

Section: Introductionmentioning

confidence: 99%

A Method to Improve the Performance of Arrays for Aperture-Level Simultaneous Transmit and Receive

Wei

Xie

et al. 2022

International Journal of Antennas and Propagation

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The simultaneous transmit and receive (STAR) system needs to establish sufficiently high isolation between the transmitter and the receiver in order to play its role. However, due to the nonlinear characteristics and the accompanying noise of the active devices in the system, the coupling from the transmit channel to the receive channel cannot be accurately estimated in massive arrays, making it hard to improve the isolation between the transmit and receive channels. This paper proposes a new method to enhance isolation for aperture-level transmitting array and receiving array. The method uses the transmit and receive beamforming technology and aperture optimization technology to enhance the isolation between the transmitting aperture and the receiving aperture. The experimental results show that when the transmit power of an 8-element Vivaldi array is 30 W, the effective isotropic isolation (EII) peak value reaches 153.9 dB. The noise floor of the system is −89.9 dBm. Compared to only using aperture optimization and only using beamforming technology, the scheme in this paper, respectively, improves the isolation of 20.69 and 6.17 dB.

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“…Several optimization algorithms were investigated for synthesizing thinned linear and planar arrays. Among which, the Particle Swarm Optimization (PSO) [28,29], Genetic Algorithm (GA) [27,30,31], Simulated Annealing (SA) [32,33], Ant Colony Optimization (ACO) [34], and Boolean Differential Evolution Algorithm (BDE) [35] were used. In [36], the binary GA technique was employed to optimize the excitations of the outer elements of planar antenna array and to reduce the number of active elements while preserving the desired radiation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Wideband Thinned Eisenstein Fractile Antenna Arrays With Adaptive Beamforming Capability and Reduced Side-Lobes

2022

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A modern design of fractal antenna arrays, called fractile array, which exhibits a fractal boundary contour within a tiled plane, is explored for enhanced array performance. In this paper, the Eisenstein fractile array is introduced to exploit the unique geometrical features of fractiles that allow multiband and wideband operation and avoid grating lobes in the radiation pattern even, in some cases, when the array elements' spacing is greater than the half wavelength. To alleviate the large number of elements and the high Side-Lobe Level (SLL) occurred at large scales, the Genetic Algorithm (GA) optimization technique is considered for thinning the proposed antenna array by estimating the optimal set of "on" and "off" elements corresponding to the minimum SLL without degrading the directivity of the radiation pattern. Also, the proposed array configuration is designed with adaptive beamforming capability using the Least Mean Square (LMS) technique. The effectiveness of the proposed GA-LMS approach is investigated by performing several MATLAB simulations under various set of array configurations. Results reveal that the suggested thinned Eisenstein fractile antenna array using GA-LMS approach is superior in terms of multiband and wideband performance, array element reduction, SLL reduction, grating lobe elimination, and beamforming capability. This elucidates the robustness of the suggested thinned Eisenstein fractile array as a promising design for multiband, wideband, compact, inexpensive, and adaptive smart antennas in modern wireless systems.

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Side lobe level suppression in a thinned linear antenna array using particle swarm optimization

Cited by 18 publications

References 12 publications

Optimization of sparse randomly spaced linear antenna array using hybrid iteratively reweighted least squares

Optimization of sparse randomly spaced linear antenna array using hybrid iteratively reweighted least squares

A Method to Improve the Performance of Arrays for Aperture-Level Simultaneous Transmit and Receive

Synthesis of Wideband Thinned Eisenstein Fractile Antenna Arrays With Adaptive Beamforming Capability and Reduced Side-Lobes

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