2012
DOI: 10.1109/tcad.2012.2183370
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Test Signal Development and Analysis for OFDM Systems RF Front-End Parameter Extraction

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Cited by 6 publications
(5 citation statements)
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References 15 publications
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“…While GA based test generation is one-time optimization, test time per instance decreases significantly compared with prior parameter estimation techniques due to the use of compact test signals. In [2], five OFDM frames are applied where each OFDM frame has duration of 100 µs, whereas in our proposed method, 3.2-µs long compact test signal (single frame) is used. Also in the proposed method, all parameters are computed in a single step contrary to [2] where multistep approach (multiple power levels) is used.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…While GA based test generation is one-time optimization, test time per instance decreases significantly compared with prior parameter estimation techniques due to the use of compact test signals. In [2], five OFDM frames are applied where each OFDM frame has duration of 100 µs, whereas in our proposed method, 3.2-µs long compact test signal (single frame) is used. Also in the proposed method, all parameters are computed in a single step contrary to [2] where multistep approach (multiple power levels) is used.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…In this work, we focus on the problem of test stimulus optimization for determining the critical behavioral model parameters of RF systems using nonlinear solvers. Prior research in model parameter computation-based testing [1], [2] used random stimuli resulting in longer than necessary test sequences incurring excessive test times. The key contributions of this work are as follows: 1) We propose an algorithmic test stimulus generation technique for behavioral model parameter computation of RF transceiver systems.…”
Section: Introductionmentioning
confidence: 99%
“…However, these technologies are prone to higher process variations and defect rates, which makes RF BIST both more necessary and more challenging. Several techniques in the literature aim to reduce the dependence on external RF instrumentation for low cost testing [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. In [2][3][4], simple test signals such as multi-tone sinusoidal signals, are used to generate output data, where the performance of RF transceiver is predicted using the output data as well as machine learning methods.…”
Section: Introductionmentioning
confidence: 99%
“…In [5][6][7][8][9][10], the loopback configuration is used to characterize both the transmitter and the receiver. In [5,6], the authors derive the analytical model for the entire loop-back path and use numerical techniques in order to solve transmitter and receiver parameters simultaneously. In [7], authors use similar mathematical models with specialized signals in order to achieve an analytical solution.…”
Section: Introductionmentioning
confidence: 99%
“…In [7]- [10], the authors use the loop-back configuration to characterize both the transmitter and the receiver. In [8], [9], an analytical model is derived for the entire path and numerical techniques are used to solve for transmitter and receiver parameters simultaneously. In [7], similar mathematical models are used in conjunction with specialized signals to achieve an analytical solution.…”
Section: Introductionmentioning
confidence: 99%