Planar Phased Array Antenna Diagnostics by a MUSIC-Based Algorithm

Prete, Mario Del; Leone, Giovanni

doi:10.1109/cama56352.2022.10002621

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Representative methods of detecting the location of a communication counterpart based on an active phased array antenna include ESPRIT [12][13][14], MUSIC [15][16][17], heuristic algorithms [18][19][20], and the monopulse technique [21][22][23]. ESPRIT estimates the precise direction of a signal using multiple antenna arrays.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the MUSIC technique has robust performance in terms of accurately estimating signals, especially in high-density antenna arrays. However, it requires significant computation, such as through the decomposition of training values and the detection of spectra and eigenvalues, resulting in a slow estimated angle calculation [16]. Heuristic algorithms are used to solve complex problems, helping researchers to identify approximate solutions quickly without seeking the optimal solution, as they rely on empirical knowledge.…”

Section: Introductionmentioning

confidence: 99%

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A Study of Direction-of-Arrival Estimation with an Improved Monopulse Ratio Curve Using Beamforming for an Active Phased Array Antenna System

Jung,

Satriyotomo,

Pyo

2023

Electronics

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When constructing a wireless communication network, the line of sight of radio waves is limited by the terrain features in a ground communication network. Also, satellite communication networks face capacity limitations and are vulnerable to jamming. Aviation communication networks can solve the above-mentioned problems. To construct seamless aviation communication networks, fast counterpart location estimation and efficient beam steering performance are essential. Among various techniques used for searching the counterpart’s location, the monopulse technique has the advantage of quickly estimating the location through a simplified procedure. However, the nonlinear characteristics of the monopulse ratio curve, which are inevitably caused by the general antenna beam shape, both limit the location estimation range and reduce the estimated location accuracy. To overcome these limitations, a method that improves the estimation accuracy and extends the range by correcting the sum and difference patterns using the beamforming technique of active phased array antennas was proposed. An antenna system model suitable for aviation communication networks was presented, and the proposed model was experimentally proven to be effective. An average angle error of 0.021° was observed in the estimation of the accuracy of the antenna location.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study of Direction-of-Arrival Estimation with an Improved Monopulse Ratio Curve Using Beamforming for an Active Phased Array Antenna System

Jung,

Satriyotomo,

Pyo

2023

Electronics

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“…However, the ITRM method is exposed to overwhelm from the weak-amplitude target and cannot distinguish between a far target and a near target. To selectively image each target in TR imaging methods, the time-reversal operator (TRO) imaging methods were developed and proposed in previous decades [17][18][19][20]. Selective imaging is realized by extracting the significant eigenvalue distribution and corresponding eigenvector from the TRO decomposition.…”

Section: Introductionmentioning

confidence: 99%

Resolution-Enhanced and Accurate Cascade Time-Reversal Operator Decomposition (C-DORT) Approach for Positioning Radiated Passive Intermodulation Sources

et al. 2023

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Attaining a high-resolution and accurate location for a radiated passive intermodulation source (R-PIMS) has been an increasingly interesting problem in modern multi-carrier wireless communication systems. For precisely positioning multiple closely spaced R-PIMSs, a novel imaging method called cascade decomposition of time-reversal operator (C-DORT) was developed. C-DORT constructs a new spectrum calculation by normalizing and multiplying the pseudo-spectrum at each sampled frequency together. The cascade process focuses the pseudo-spectrum at R-PIMS positions to form a highly brightened spectrum peak and to suppress the remained pseudo-spectrum to approximately zero, contributing to distinguishing the closely spaced R-PIMSs. The positioning performance of the positioning resolution, pseudo-spectrum width, positioning accuracy, and imaging robustness are analyzed by numerical simulations. Compared with the conventional central frequency decomposition of time-reversal operator (CF-DORT) and the time domain decomposition of time-reversal operator (TD-DORT) methods, the multiple R-PIMSs, spaced at a distance of diffraction limit, which is the spacing of 1/2 of a wavelength, are distinguished effectively in C-DORT. Additionally, the cross-range pseudo-spectrum full width at half maxima (CRPS-FWHM) is suppressed to the width of 1/4 of a wavelength by multiplication to improve the cross-range resolution in C-DORT. In addition, accurate positioning is obtained by providing the approximately zero positioning root mean square estimation (RMSE) at an SNR ranging from 0 dB to 10 dB. The results show that the proposed C-DORT improves the positioning accuracy and enhances the positioning resolution for locating an R-PIMS.

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