Linearly Polarized Shaped Power Pattern Synthesis With Dynamic Range Ratio Control for Arbitrary Antenna Arrays

Xu, Zhengzhuo; Liu, Yanhui; Li, Ming; Li, Yingsong

doi:10.1109/access.2019.2912462

Cited by 17 publications

(5 citation statements)

References 37 publications

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“…Likewise, low DRR helps to reduce the effect of mutual coupling between array elements. In some works, such as in [32], the DRR is reduced just by limiting the search interval of amplitude excitations. In this paper, to minimize the dynamic range ratio, another term can be introduced in the cost function; its expression is given by…”

Section: Linear Array Modelmentioning

confidence: 99%

A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR

Kenane¹,

Bakhti²,

Bentoumi³

et al. 2021

AEM

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In the present work, a dynamic stochastic method is proposed and used for the synthesis of uniform linear antenna arrays. The proposed method combines the classical invasive weeds (IWO) and the mutation process, which makes it robust, simple and shows flexibility to be adapted. The dynamic IWO applies the mutation process in the calculation of standard deviation during the spatial dispersal process of produced seeds while keeping the mean at the parent plants. In the mutation process, if special conditions were achieved, the standard deviation would be re-initialized. This proposed method tries to achieve an optimal array pattern by acting on the relative amplitude excitation of each element in the linear array for an optimal inter-element spacing. The optimal array pattern has deep or broad nulls in some directions of interferences with low sidelobes level. The objective of the synthesis is to get amplitude excitations with low dynamic range ratio (DRR), which facilitates the design of beamforming feed network. To illustrate the robustness of the proposed method, numerical examples are presented and compared with the obtained results using bees algorithm (BA), bacterial foraging algorithm (BFA), real genetic algorithm (RGA), and the corresponding reference array pattern for each example.

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Section: Linear Array Modelmentioning

confidence: 99%

A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR

Kenane¹,

Bakhti²,

Bentoumi³

et al. 2021

AEM

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show abstract

“…In Refs. [16,17], the array synthesis problem is solved by adopting a semi-definite relaxation (SDR) method. However, the performance of SDR is sub-optimal because its final solution relies on the eigenvalue decomposition or randomisation process.…”

Section: Introductionmentioning

confidence: 99%

Pattern synthesis of dual‐polarised conformal array based on adaptive iterative convex optimisation

Liu

Qian

Zhang

et al. 2023

IET Microwaves Antenna & Prop

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This study focuses on the shaped beam pattern synthesis based on the convex optimisation method for conformal arrays. First, the original pattern synthesis problem is transformed into a constrained optimisation problem for the power pattern. Then, it is rewritten as a convex optimisation problem through a linear approximation of weight vector. In order to enhance the resiliency of the algorithm, a robust linear approximate method is proposed with an adaptive upper bound of step size. The loss between the obtained and desired pattern is defined to dynamically adjust the upper bound. Benefiting from the flexible constraint, the proposed method can achieve the arbitrary beam pattern with fast convergence and robustness. Finally, numerous typical examples are provided to demonstrate the validity of the proposed method.

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“…In [4], Hamamreh made a comprehensive survey for the PLS communication and pointed out the PAPR problem of AN-aided signal as a practical important issue in system design (in Section Vi (G)). is problem is similar to the PAPR problem in the traditional OFDM system or high dynamic range ratio (DRR) problem in a pattern synthesis using a phased array [42,43]. e large PAPR brings disadvantages like an increased complexity of the digital-toanalog (DA) and analog-to-digital (AD) converters and feed network, a reduced efficiency of the high-power amplifier (HPA), and signal distortion in the nonlinear region HPA.…”

Section: Introductionmentioning

confidence: 99%

Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System

Hong

Zhang

2020

Mobile Information Systems

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The research of improving the secrecy capacity (SC) of wireless communication system using artificial noise (AN) is one of the classic models in the field of physical layer security communication. In this paper, we consider the peak-to-average power ratio (PAPR) problem in this AN-aided model. A power allocation algorithm for AN subspaces is proposed to solve the nonconvex optimization problem of PAPR. This algorithm utilizes a series of convex optimization problems to relax the nonconvex optimization problem in a convex way based on fractional programming, difference of convex (DC) functions programming, and nonconvex quadratic equality constraint relaxation. Furthermore, we also derive the SC of the proposed signal under the condition of the AN-aided model with a finite alphabet and the nonlinear high-power amplifiers (HPAs). Simulation results show that the proposed algorithm reduces the PAPR value of transmit signal to improve the efficiency of HPA compared with benchmark AN-aided secure communication signals in the multiple-input single-output (MISO) model.

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Linearly Polarized Shaped Power Pattern Synthesis With Dynamic Range Ratio Control for Arbitrary Antenna Arrays

Cited by 17 publications

References 37 publications

A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR

A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR

Pattern synthesis of dual‐polarised conformal array based on adaptive iterative convex optimisation

Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System

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