Antenna Array Aperture Resource Management of Opportunistic Array Radar for Multiple Target Tracking

Han, Qing; Zhang, Yuanshi; Yang, Zhen; Long, Weijun; Liang, Zhou

doi:10.1109/access.2020.3044662

Cited by 8 publications

(2 citation statements)

References 22 publications

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“…For those occupied array elements, window functions are not adopted because there would always be energy reduction in the main lobe in presence of extra window functions. Due to the high energy efficiency and the simple management of transmit/receive modules, the binary weighting functions have received research interests in multi-target allocation [7] and pattern synthesis of opportunistic array radars [8]. Since the weighting values are discrete, non-deterministic polynomial (NP) computing complexity would occur in finding the global optimum of this problem.…”

Section: Introductionmentioning

confidence: 99%

Binary array beam forming with simulated annealing method

Tao

et al. 2023

Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023)

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Binary weighted beamforming aims to achieve the optimal radiation pattern with only part of the array elements. The corresponding applications include sparse synthesis, management of aperture resources and targets allocation. However, due to the discrete weighting values as well as the corresponding non-deterministic polynomial computational complexity, most existing adaptive beamforming approaches are not suitable. Here, an algorithm based on simulated annealing optimization is proposed and the performances of binary weighted beamforming with one-dimensional and twodimensional random arrays are numerically evaluated. According to the results with number of array elements ranging from 17 to 151, the side lobes can be reduced by 4.43 dB in average utilizing only around 66.7% of the total array elements while the width of the main lobe has increased by about 30%. For adaptive beamforming circumstances, an extra depth of up to 20 dB is achieved in presence of a preset jammer. Furthermore, a proof-of-principle optical experiment employing the spatial light modulator device is designed and studied through Huygens-Fresnel simulation.

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Section: Introductionmentioning

confidence: 99%

Binary array beam forming with simulated annealing method

Tao

et al. 2023

Second International Conference on Optoelectronic Information and Computer Engineering (OICE 2023)

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“…Due to the complexity of MIMO antennas, it is not straightforward to model and design these circuits, and optimization-based approaches are importantly required. Reported various optimization methods around radio frequency and antenna designs are particle swarm optimization [6,7], ant colony optimization [8,9], chicken swarm optimization [10], harmony search algorithm [11], and genetic algorithm [12]; however, when the design parameters are in a huge number these methods can not be successful and intelligent based optimization methods are required [13].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Assisted Automatic Methodology for Implanted MIMO Antenna Designs on Large Ground Plane

2021

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This paper provides a novel methodology for designing implanted multiple-input and multiple-output (MIMO) antennas in the automatic fashion. The proposed optimization consists of two sequential phases for firstly configuring the geometry of an implanted MIMO antenna and then sizing the design parameters through the hierarchy top-down optimization (TDO) and regression deep neural network (DNN), respectively. It tackles the difficulty in constructing the structure of antennas and also provides optimal values for the determined variables, sufficiently. This methodology results in valid electromagnetic (EM)-verified post-layout generation that is ready-to-fabricate. The effectiveness of the proposed optimization-oriented method is verified by designing and optimizing the implanted MIMO antenna in the frequency band of 4.34–4.61 GHz and 5.86–6.64 GHz suitable for medical applications at the emerging wireless band. For our design, we employ the actual biological tissues as bone, liquid (%1 sodium chloride, %40 sugar in distilled water), and plexiglass surroundings with a bio-compatible substrate, as aluminium oxide on a large ground plane, that is suitable to be used in a particular biomedical applications involving smart implants.

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Multi-objective Optimization Methods for Passive and Active Devices in mm-Wave 5G Networks

Kouhalvandi

Matekovits

2022

PoliTO Springer Series

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Antenna Array Aperture Resource Management of Opportunistic Array Radar for Multiple Target Tracking

Cited by 8 publications

References 22 publications

Binary array beam forming with simulated annealing method

Binary array beam forming with simulated annealing method

Deep Learning Assisted Automatic Methodology for Implanted MIMO Antenna Designs on Large Ground Plane

Multi-objective Optimization Methods for Passive and Active Devices in mm-Wave 5G Networks

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