Predictive test strategy for CMOS RF mixers

Garcı́a-Moreno, E.; Suenaga, K.; Picos, R.; Bota, S.; Roca, M.; Isern, E.

doi:10.1016/j.vlsi.2008.09.008

Cited by 11 publications

(9 citation statements)

References 11 publications

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“…According to this, we propose a novel method to experimentally measure the SNM based on the alternate testing approach [13]. This technique has been successfully applied to analog [14] and radio frequency (RF) testing [12,15]. In the alternate testing approach, the test specifications (SNM in our case) of the circuit-under-test (SRAM memory cell) are not measured directly using conventional methods (plotting the voltage transfer curves of each internal node and computing the SNM).…”

Section: Introductionmentioning

confidence: 99%

Alternate characterization technique for static random‐access memory static noise margin determination

Merino

Bota

Picos

et al. 2012

Circuit Theory & Apps

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The cell static noise margin (SNM) is widely used as a stability criterion for static random-access memory cells design. This parameter is typically determined through electrical simulations since direct experimental characterization of SNM is not achievable.In this work, we present a methodology that provides an indirect measurement of the SNM on a per-cell basis for six-transistor SRAMs. It is based on combining an Adaptive Neuro-Fuzzy Inference System (ANFIS) with circuit-level cell experimentally measurable parameters as input variables to the tool. We show that it is possible to obtain the SNM for individual memory cells using the same experimental setup and data than that required for shmoo plot measurements. Results confirm that the SNM can be experimentally estimated with a relative error compared with electrical simulations that is below 0.5%.

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Section: Introductionmentioning

confidence: 99%

Alternate characterization technique for static random‐access memory static noise margin determination

Merino

Bota

Picos

et al. 2012

Circuit Theory & Apps

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“…Moreover, the testing times are high due to training and the filter coefficient balancing phase that needs to take place before actual testing begins. In [8][9], the alternate test approach is employed in order to estimate performance parameters of the Mixer. In both cases, increased prediction accuracy requires extra hardware, and long, cost-demanding post-processing procedures.…”

Section: Introductionmentioning

confidence: 99%

A Build-In Self-Test technique for RF Mixers

Dermentzoglou

Arapoyanni

Tsiatouhas

2010

13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems

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A Build-In Self-Test (BiST) circuit suitable for embedded RF Mixers in System-on-Chip applications is presented in this paper. This is a defect-oriented test scheme that dynamically sets the Mixer to operate in homodyne mode. The DC level generated at its output is used to control the oscillation frequency of a simple voltage controlled oscillator. Deviations of the oscillation frequency from the expected range of values indicate a defective Mixer. The proposed BiST technique has been applied to a typical receiver's differential RF Mixer using a 0.35μm CMOS technology. Simulation results validated the efficiency of the BiST circuit which was capable to provide a high fault coverage of catastrophic faults (which exceeds 91%) and a small test application time (1μs), at a silicon area cost approximately 16% of the Mixer area.

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“…In [14] and [15], parameter prediction is analyzed in RF mixers. This technique uses a simple IF generator and an auxiliary mixer to generate the test input stimulus.…”

Section: Introductionmentioning

confidence: 99%

Verifying Functional Specifications by Regression Techniques on Lissajous Test Signatures

Balado

Lupon

Figueras

et al. 2009

IEEE Trans. Circuits Syst. I

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In this paper, a low-cost method to verify functional specifications of analog VLSI circuits is proposed. The method is based on the analysis of Lissajous signatures combined with regression techniques. In order to obtain Lissajous signatures, the observation space is partitioned into zones using hyperplanes, and a set of integer values used as the digital signature of the circuit is generated by Lissajous curve zone crossings. A predictor function obtained by nonlinear regression techniques predicts the functional specification parameters of the circuit under consideration. The viability of this methodology is analyzed and applied to verify the center frequency 0 of a bandpass biquad filter. Experimental measurements show an accurate prediction of the center frequency of the designed filter.

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Predictive test strategy for CMOS RF mixers

Cited by 11 publications

References 11 publications

Alternate characterization technique for static random‐access memory static noise margin determination

Alternate characterization technique for static random‐access memory static noise margin determination

A Build-In Self-Test technique for RF Mixers

Verifying Functional Specifications by Regression Techniques on Lissajous Test Signatures

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