Cost-Effective Near-Field Calibration for Uniform Linear Array Antennas

This paper presents a novel near-field calibration method for uniform linear arrays (ULAs) without requiring anechoic chambers. Our approach uses a single near-field source transmitting frequency-modulated continuous-wave (FMCW) signals. We propose a joint gradient descent algorithm that simultaneously estimates array error parameters and precisely locates the calibration source, initialized with an approximate source position. The method leverages FMCW signal characteristics to model channel delay and phase errors. Through simulations, we determine optimal signal-to-noise ratio (SNR) and iteration requirements. The algorithm's effectiveness is validated on a 64-antenna ULA, demonstrating improved performance in ranging and back-projection imaging applications. This cost-effective technique offers a practical solution for ULA calibration in non-ideal environments, potentially expanding the use of high-precision phased array systems.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/mape62875.2024.10813915
Primary Topic
Antenna Design and Optimization
Type
article
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Cost-Effective Near-Field Calibration for Uniform Linear Array Antennas

Xiao Huang, Yufan Cai, Xiang Chen, Xijun Wang et al.
Antenna Design and Optimization
article

Cost-Effective Near-Field Calibration for Uniform Linear Array Antennas

Xiao Huang, Yufan Cai, Xiang Chen, Xijun Wang, Tony Xiao Han
article en

Abstract

This paper presents a novel near-field calibration method for uniform linear arrays (ULAs) without requiring anechoic chambers. Our approach uses a single near-field source transmitting frequency-modulated continuous-wave (FMCW) signals. We propose a joint gradient descent algorithm that simultaneously estimates array error parameters and precisely locates the calibration source, initialized with an approximate source position. The method leverages FMCW signal characteristics to model channel delay and phase errors. Through simulations, we determine optimal signal-to-noise ratio (SNR) and iteration requirements. The algorithm's effectiveness is validated on a 64-antenna ULA, demonstrating improved performance in ranging and back-projection imaging applications. This cost-effective technique offers a practical solution for ULA calibration in non-ideal environments, potentially expanding the use of high-precision phased array systems.

Sun Yat-sen University (CN), Huawei Technologies (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 58%
Antenna Design and Optimization
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