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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/33216
Title: Alternate test of LNAs through ensemble learning of on-chip digital envelope signatures
Authors: Barragán, Manuel J.; Fiorelli, R.; Léger, G.; Rueda, Adoración; Huertas-Díaz, J. L.
Keywords: RF test
Ensemble learning
Signature test
Issue Date: 6-Jan-2011
Publisher: Springer
Citation: Journal of Electronic Testing 27(3): 277-288 (2011)
Abstract: This paper presents a novel and low-cost methodology for testing embedded Low Noise Amplifiers (LNAs). It is based on the detection and analysis of the response envelope of the Device Under Test (DUT) to a two-tone input signal. The envelope signal is processed to obtain a digital signature sensitive to key specifications of the DUT. An optimized regression model based on ensemble learning is used to relate the digital signatures to the target specifications. A new Figure of Merit (FOM) is proposed to evaluate the prediction accuracy of the statistical model, and a demonstrator has been developed to prove the feasibility of the approach. This demonstrator features a 2.445 GHz low-power LNA and a simple envelope detector, and has been developed in a 90 nm CMOS technology. Post-layout simulations are provided to verify the functionality of the proposed test technique
Description: El pdf del artículo es el manuscrito de autor.
Publisher version (URL): http://dx.doi.org/10.1007/s10836-010-5193-4
URI: http://hdl.handle.net/10261/33216
ISSN: 0923-8174
DOI: 10.1007/s10836-010-5193-4
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