NDLI: Lms-based rf bist architecture for multistandard transmitters.

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Lms-based rf bist architecture for multistandard transmitters.

Content Provider	CiteSeerX
Author	Dogaru, Emanuel Santos, Filipe Vinci Dos Rebernak, William
Abstract	Abstract—Software defined radios (SDR) platforms are in-creasingly complex systems which combine great flexibility and high performance. These two characteristics, together with highly integrated architectures make production test a challenging task. In this paper, we introduce a Radio Frequency (RF) Built-in Self-Test (BIST) strategy based on Periodically Nonuniform Sampling of the signal at the output stages of multistandard radios. We leverage the I/Q ADC channels and the DSP resources to extract the bandpass waveform at the output of the power amplifier (PA). Analytical expressions and simulations show that our time-interleaved conversion scheme is sensitive to time-skew. We propose a time-skew estimation technique based on a Least Mean Squares (LMS) algorithm to solve this problem. Simulation results show that we can effectively reconstruct the bandpass signal of the output stage using this architecture, opening the way for a complete RF BIST strategy for multistandard radios. Keywords—BIST, Periodically nonuniform sampling, software radios, mixed-signal test, undersampling, spectral mask estimation, LMS calibration, time-skew estimation I.
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Access Restriction	Open
Subject Keyword	Multistandard Transmitter Lms-based Rf Bist Architecture Multistandard Radio Output Stage Lm Calibration Built-in Self-test Bandpass Waveform Mixed-signal Test Simulation Result Complex System Time-interleaved Conversion Scheme Spectral Mask Estimation Periodically Nonuniform Sampling Keywords Bist High Performance Complete Rf Bist Strategy Adc Channel Great Flexibility Abstract Software Dsp Resource Production Test Time-skew Estimation Technique Bandpass Signal Least Mean Square Analytical Expression Radio Frequency Integrated Architecture Software Radio Challenging Task Power Amplifier Time-skew Estimation
Content Type	Text

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