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Phased antenna array reconstructive diagnostics using compressed sensing approach

Keywords:

G. Yu. Kuznetsov – Post-graduate Student, Department of Radiophysics, Antennas and Microwave Technics, Moscow Aviation Institute (National Research University) E-mail: gregz92@yandex.ru V. S. Temchenko – Dr.Sc. (Eng.), Professor, Department of Radiophysics, Antennas and Microwave Technics, Moscow Aviation Institute (National Research University) E-mail: vstemchenko@gmail.com


Conventional methods of phased antenna array diagnostics include measurement of full set of field data in near or far field zone. The solution of diagnostics problem consists of several parts: reconstruction of current amplitude and phase for every radiating element, defect element position search, defect characterization and defect correction. Number of measurements and overall time of mea-surements become significantly large, and the efficiency and accuracy of post-processing algorithms degrades if the antenna under test (AUT) comprises a large number of elements. If AUT is an active antenna array, the overall number of measurements and measurement time must be low. Measurement time is limited by two factors: first, service life of active elements is limited; second, characteristics of transmit-receive modules (TRM) change with temperature. Along with conventional methods, compressive sensing-based (CS) antenna array diagnostics methods are currently developed. These methods allow significant reduction of measurement number in near- or far-field zone, if the number of defect elements is low, what is usually true in practice. In this paper, a two-step approach to phased antenna array diagnostics reliability improvement is considered. First, a small number of measurements in near-field are carried out for AUT. The difference between these measurements and measurements of a non-defect antenna array is used in CS-based reconstruction to sort the radiating elements in three groups: operating, potentially defect and defect elements. Any group may contain potentially defect elements. Second, for diagnostics reliability improvement a number of channel-wise measurements is carried out using a 180° phase shift in po-tentially defect element. Based on the results of these measurements, amplitude and phase of potentially defect elements is recon-structed, and then elements are finally sorted in two groups: operating and defect. Results of a linear phased array diagnostics based on l1-minimization are presented. This approach allows the classification of defect element faults, needed for following array excitation correction, and can be used for a wide range of phased antenna arrays.
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