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Phased antenna array reconstructive diagnostics using compressed sensing approach


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

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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