Abstract

A diagnosing method for phased antenna array element failures is proposed. The element excitation amplitudes and phases are reconstructed by a compressed sensing based approach, in which the radiated electric fields of the array are sampled by a single fixed receiving antenna. The diagnosing can be processed when the phased array is still in service. Particularly, it can be specialized for detecting faults only. Element excitation phases are designed to follow Bernoulli distribution, which is difficult to be realized in conventional geometric sampling methods. It is capable to provide effective and simultaneous detection for different types of failures with phase control means that are simpler comparing with other methods in which excitation phase adjustment is required. Especially, a two-step detection strategy is proposed to effectively detect phase failures due to faultily short-circuited phase shifters. Numerical results illustrate the effective sensing range of a single receiving antenna. Full-wave simulations validate the diagnosing performance in the presence of mutual couplings between array elements.

Highlights

  • Phased array antennas are widely used in many engineering applications such as radar, sonar, and biology systems [1]

  • Array elements are distributed with d = λ/2 and excited with uniform excitation amplitude, in which λ is the operating wavelength. 6-bit digital phase shifters are applied

  • A single fixed receiving probe is placed in the near field region of array under test (AUT) to collect electric field data

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Summary

INTRODUCTION

Phased array antennas are widely used in many engineering applications such as radar, sonar, and biology systems [1]. A detecting method for different types of faults in phased arrays is proposed. It applies near field data for detection, which is practical in very large arrays. Via controlling element excitation phases, requirements of CS are satisfied by binary random matrices whose entries follow Bernoulli distribution It is different from existing detection methods by VOLUME 8, 2020 which binary random matrices are hard to build. The original unknown excitation vector is split to real parts and imaginary parts to form a new vector whose entries are all real numbers Both amplitude and phase failures can be distinguished and detected simultaneously.

THE DIAGNOSING PROBLEM
SAMPLING STRATEGY
SCANNING MODE AND DETECTION MODE
SPARSE RECONSTRCUTION OF EXCITATIONS
NUMERICAL RESULTS
CONCLUSION
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