Antenna Array Calibration Algorithm without Access to Channel Signals

Djigan, Victor I.; Kurganov, Vladislav V.

doi:10.3103/s073527272001001x

Cited by 10 publications

(3 citation statements)

References 20 publications

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“…Perturbation algorithm [19] Frequency domain Power 6 (M-1) + 1 measurements FPC(Four-phase-cycle) [20,27] Frequency domain Power 4 (M-1) measurements Three-phase-cycle [28] Frequency domain Amplitude 2M + 1 measurement MEP(Phase-toggle method) [32,33] Frequency domain Amplitude, phase M measurements Fast measurement technique [34] Frequency domain Power 7.…”

Section: Phase Adaptation Domain Measurement Notesmentioning

confidence: 99%

“…Calibration in the frequency domain requires numerous probe scanning procedures to draw calibration coefficients in a sequential order. To reduce the number of measurements in the frequency domain, Djigan further developed the adaptive algorithm for antenna array calibration [19]. The Four‐Phase‐Cycle (FPC) method has been implemented by Sorace [20] and Wang [27].…”

Section: Introductionmentioning

confidence: 99%

“…A variety of algorithms have been developed to calibrate antenna arrays. They are the rotating-element electric-field vector (REV) method [8][9][10], mutual coupling measurement (MCM) method [11][12][13], self-calibration method [14][15][16][17], and perturbed calibration method [18][19][20]. All these methods perform phase shift calibration in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

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Antenna array calibration methods based on simultaneous perturbation

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IET Microwaves Antenna & Prop

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Antenna arrays have gained significant interest in millimetre‐wave communication systems as an enabling technology to achieve higher capacity and mitigate the high propagation loss. Such arrays with a large bandwidth need to be efficiently calibrated to maximise their performance. An antenna array calibration method based on a stochastic approximation algorithm and simultaneous perturbation has been developed and the procedures to implement it in both frequency and time domains have been presented. The approaches to define objective functions and establish gradient approximations to fulfill a successful convergence for acquiring calibration coefficients in both domains have been explored. In the time domain implementation, only a fraction of the measurement time was required to calibrate an antenna array of ultrawide bandwidth compared with other methods using a perturbation technique. The effectiveness of the proposed method has been validated via numerical experiments in both domains.

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