2006 IEEE MTT-S International Microwave Symposium Digest 2006
DOI: 10.1109/mwsym.2006.249959
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Behavioral Modeling of Quadrature Modulators for Characterization of Nonlinear Distortion

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Cited by 3 publications
(5 citation statements)
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“…Second, the identified different behavioral models are validated using the original QMOD input signals, and then the NMSE with different models can be calculated using (8), the results are shown in Table I. Comparison results show that the proposed nonlinear behavioral model has much better modeling accuracy than the models proposed in [8] and [9], and it also validates the correctness of the proposed nonlinear behavioral model.…”
Section: Experimental Validationmentioning
confidence: 76%
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“…Second, the identified different behavioral models are validated using the original QMOD input signals, and then the NMSE with different models can be calculated using (8), the results are shown in Table I. Comparison results show that the proposed nonlinear behavioral model has much better modeling accuracy than the models proposed in [8] and [9], and it also validates the correctness of the proposed nonlinear behavioral model.…”
Section: Experimental Validationmentioning
confidence: 76%
“…where c n =αa n +βb n (n=1,…, 9), and they are all complex numbers. From (4) we can see that the QMOD nonlinear behavioral model can be simplified as a complex polynomial about I and Q parts of the input signal.…”
Section: Nonlinear Behavioral Modelmentioning
confidence: 99%
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