Aliasing Suppression in Synthetic Aperture Interferometric Radiometers Using Subarray-Based Antenna Architecture

Synthetic aperture interferometric radiometers (SAIRs) have emerged as a promising technology for high-resolution remote sensing and target detection by synthesizing spatially distributed antenna elements into a large virtual aperture. To achieve high angular resolution and radiometric sensitivity, SAIR systems often employ sparse antenna arrays composed of antenna elements with large apertures and high gain, resulting in element spacings exceeding half a wavelength. Such undersampling violates the Nyquist sampling criterion, generating grating lobes in the array factor (AF) and resulting in spatial aliasing artifacts in reconstructed brightness temperature (TB) images, which degrade imaging and detection performance. To mitigate this problem, this paper proposes an aliasing suppression method based on a subarray-based antenna architecture. First, the grating lobe directions of the sparse array are identified through AF analysis. Each conventional antenna element is then replaced with a properly designed subarray antenna whose radiation pattern introduces nulls are placed near the grating lobe directions, thereby reducing the corresponding aliasing artifacts in reconstructed TB images. Simulation results and an equivalent experimental emulation demonstrate that the proposed method reduces aliasing artifacts while maintaining competitive spatial resolution and radiometric sensitivity. Additional analyses investigate the effects of subarray layout, the number of subarray elements, and wideband operation, as well as the direction dependence of grating lobe suppression, providing practical guidance for SAIR system design.

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Publication Details

Journal
Remote Sensing
Published
2026-08-03
DOI
https://doi.org/10.3390/rs18152552
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

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article

Aliasing Suppression in Synthetic Aperture Interferometric Radiometers Using Subarray-Based Antenna Architecture

Bo Fang, Yanyu Xu, Xiuqing Yang, Fei Hu
Remote Sensing
Soil Moisture and Remote Sensing
article

Aliasing Suppression in Synthetic Aperture Interferometric Radiometers Using Subarray-Based Antenna Architecture

Bo Fang, Yanyu Xu, Xiuqing Yang, Fei Hu
article en

Abstract

Synthetic aperture interferometric radiometers (SAIRs) have emerged as a promising technology for high-resolution remote sensing and target detection by synthesizing spatially distributed antenna elements into a large virtual aperture. To achieve high angular resolution and radiometric sensitivity, SAIR systems often employ sparse antenna arrays composed of antenna elements with large apertures and high gain, resulting in element spacings exceeding half a wavelength. Such undersampling violates the Nyquist sampling criterion, generating grating lobes in the array factor (AF) and resulting in spatial aliasing artifacts in reconstructed brightness temperature (TB) images, which degrade imaging and detection performance. To mitigate this problem, this paper proposes an aliasing suppression method based on a subarray-based antenna architecture. First, the grating lobe directions of the sparse array are identified through AF analysis. Each conventional antenna element is then replaced with a properly designed subarray antenna whose radiation pattern introduces nulls are placed near the grating lobe directions, thereby reducing the corresponding aliasing artifacts in reconstructed TB images. Simulation results and an equivalent experimental emulation demonstrate that the proposed method reduces aliasing artifacts while maintaining competitive spatial resolution and radiometric sensitivity. Additional analyses investigate the effects of subarray layout, the number of subarray elements, and wideband operation, as well as the direction dependence of grating lobe suppression, providing practical guidance for SAIR system design.

Remote SensingVol. 18(15)
Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 15%
Soil Moisture and Remote Sensing
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Aliasing Suppression in Synthetic Aperture Interferometric Radiometers Using Subarray-Based Antenna Architecture — Bo Fang, Yanyu Xu, et al. · Remote Sensing (2026) | TGRS Research Map | TGRS