Phased Array Antenna Calibration Based on Autocorrelation Algorithm

The problem of calibrating phased array antennas in a noisy environment using an autocorrelation algorithm is investigated and a mathematical model of the autocorrelation calibration method is presented. The proposed calibration system is based on far-field scanning of the phased array antenna in an...

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Published inSensors (Basel, Switzerland) Vol. 24; no. 23; p. 7496
Main Authors Nguyen, Xuan Luong, Nhan, Nguyen Trong, Dang Thi, Thanh Thuy, Thanh, Tran Van, Nguyen, Phung Bao, Trien, Nguyen Duc
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 24.11.2024
MDPI
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ISSN1424-8220
1424-8220
DOI10.3390/s24237496

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Summary:The problem of calibrating phased array antennas in a noisy environment using an autocorrelation algorithm is investigated and a mathematical model of the autocorrelation calibration method is presented. The proposed calibration system is based on far-field scanning of the phased array antenna in an environment with internal noise and external interference. The proposed method is applied to a phased array antenna and compared with traditional rotating-element electric-field vector methods, which involve identifying the maximum and minimum vector–sum points (REVmax and REVmin, respectively). The proposed calibration system is verified for a phased array antenna at 3 GHz. Experimental verification of the mathematical model of the proposed method demonstrates that the autocorrelation method is more accurate than the rotating-element electric-field vector methods in determining the amplitude and phase shifts. The measured peak gain of the combined beam in the E-plane increased from 7.83 to 8.37 dB and 3.57 to 4.36 dB compared to the REVmax and REVmin methods, respectively, and the phase error improved from 47° to 55.48° and 19.43° to 29.16°, respectively. The proposed method can be considered an effective solution for large-scale phase calibration at both in-field and in-factory levels, even in the presence of external interference.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24237496