SOSTAR-X active antenna : results and lessons learned

Chabod, Luc; Renard, Christian

doi:10.1109/eumc.2008.4751790

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…The corresponding measurements are used to calibrate all the antenna's channels, both on transmit and receive. Reconstruction methods from near field measurements only have been developed over the last years and can now carry out all the qualifications of an antenna (calibration, antenna diagram, measurement of the EIRP at transmission and G/T at reception), [1] [2] [3]. This method now enables validating an entire AESA without having need for measuring its radiation pattern in a special chamber (Fig.…”

Section: ) Calibration Of the Aesa Subset Via The Radar In A Nearmentioning

confidence: 99%

Advances in production testing and operational support of new AESA radars

Kemkemian

Enderli

Larroque

2013

2013 IEEE International Symposium on Phased Array Systems and Technology

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The Active Antennas (AESA) technology has dramatically enhanced the operational capability of modern Radars because of much higher performance than the older generations but also in terms of reliability and operational availability. Nevertheless, minimizing production costs and cost of ownership of these systems remains a major industrial challenge. The paper is organized in two parts. The first one deals with improvements achieved so far for reducing the costs and the complexity of industrial testing. In the second part, a novel method for testing in production phase based on DataMining using Bayesian Networks is presented. By processing the raw flow issued from the Built-In-Test (B.I.T.), it allows detecting and diagnosing accurately defects that are difficult to catch with current methods, such as fugitive failures or initiation of defects. A first validation of the method is reported in this paper with real B.I.T. data. Originally planned for testing in production, this method could replace, in the future, the current B.I.T. which is used in operational use.

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Section: ) Calibration Of the Aesa Subset Via The Radar In A Nearmentioning

confidence: 99%