Plane-Wave Synthesis: A Sparse Representation Perspective

Yong, Li; Gao, Lingyu; Sun, Hao; Zhang, Xiang

doi:10.1109/lawp.2020.3013248

Cited by 10 publications

(8 citation statements)

References 9 publications

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“…After a sub-array with a certain structure is selected, other candidate sub-arrays whose radius differences from the selected sub-array are smaller than the isolation distance r * are no longer available to avoid the antenna coupling. This procedure is quite similar to that in [10] [19].…”

Section: Sparse Recovery For Pwg Layoutmentioning

confidence: 88%

“…A penalty function in [10] is proposed to mitigate the unwanted energy outside the QZ. It is a competent choice in narrowband, but the parameters should be adjusted for wideband scenarios.…”

Section: B Constrained Regressionmentioning

confidence: 99%

“…Since the number of radiating elements contained in a candidate sub-array is quite problematic to be determined, we applied the nonredundant sampling strategy [6] to determine the number of antennas contained in each candidate sub-array. Specifically, there should be Lû = 2M û + 1 antennas uniformly deployed on the ûth concentric circle candidate sub-array with the radius of rû [6] [10].…”

Section: Sparse Recovery For Pwg Layoutmentioning

confidence: 99%

“…The basic principle of PWG is to coherently synthesize the plane wave field in the quiet zone (QZ) via properly allocating excitations for the contained antennas. Various methodologies, e.g., in [6][7][8][9][10][11][12], have been developed to determine the optimal locations and excitations of PWG antennas for a highquality and cost-effective plane wave synthesis. For example, a systematic guideline on the PWG geometrical design and the stability of the solution are studied in [9].…”

Section: Introductionmentioning

confidence: 99%

“…For example, a systematic guideline on the PWG geometrical design and the stability of the solution are studied in [9]. Applying the sparse representation theory, [10] proposed a novel PWG design method with fewer radiating sources. Most of them, however, are limited to narrowband applications and require rigorous amplitude and phase feeding control, except for the tapering methods [11].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Effective Sparse Recovery Framework for Ultrawideband Robust Plane Wave Generator

Wang

et al. 2023

Antennas Wirel. Propag. Lett.

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This letter proposes a novel ultra-wideband plane wave generator (PWG) design methodology suitable for a low-cost small anechoic chamber. Several novel strategies are proposed to handle various crucial concerns in practice to make the proposed methodology reliable and robust. Specifically, the subarray-based amplitude-only excitation method is capable of reducing the required number of control channels without the need for phase shifters, which can significantly simplify the feeding network complexity. One major concern of the PWG application is the non-negligible multipath reflections in small anechoic chambers. Thus, a novel regression approach, imposing the constraint of maximum energy outside the quiet zone (QZ), is implemented to suppress the reflection level. For the design of the PWG layout, a compressed sensing-based adaptive backtracking orthogonal matching pursuit (ABOMP) algorithm is proposed. In the simulation, a spherical test zone supporting the ultrawideband frequency over 2.4-5 GHz is synthesized with the proposed methodology, and the effectiveness and robustness are comprehensively investigated.

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Section: Sparse Recovery For Pwg Layoutmentioning

confidence: 88%

Section: B Constrained Regressionmentioning

confidence: 99%