Prognostic Optimization of Phased Array Antenna for Self-Healing

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David Allen

Abstract

Phased array antennas are widely used in many applications and consist of many antennas coupled together to enable digital beam-forming. As transmit/receive elements begin to degrade and eventually fail the antenna’s beam will distort from the desired pattern. We propose a novel optimization algorithm which takes into account not only the current state-of-health of the system, but potential future states-of- health from prognostic observations. The approach can be run entirely off-line (before the start of a mission), so requires no additional computational resources or sensors be added to the system and does not require the system to be able to detect the degradation/failures during a mission. Our main objective is to trade some current optimization flexibility for improved system robustness under future failures.

How to Cite

Allen, D. (2014). Prognostic Optimization of Phased Array Antenna for Self-Healing. Annual Conference of the PHM Society, 6(1). https://doi.org/10.36001/phmconf.2014.v6i1.2423
Abstract 30 | PDF Downloads 17

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Keywords

diagnosis, prognosis, fault-tolerant control, reconfigurable control, PHM

References
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Section
Technical Papers