Accurate and efficient impedance matching method in the presence of on-board and SMT parasitic components

Wang, Tao; Michalka, Tim; Luevano, Gerardo Romo

doi:10.1109/epeps.2017.8329709

Cited by 1 publication

(1 citation statement)

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“…Simulation results show that a network synthesized on the basis of proposed set of equations nullifies the effect of non-idealities by 70-80% in L-networks and 10-20% in π-networks, but marginally improves the effect of non-idealities in T-networks at a frequency of 900 MHz. The authors of [4] provide and validate a methodology of calculating optimal impedance matching networks including the parasitics of on-board surface-mount components. The authors utilize ADS simulation capabilities in order to fine-tune the component values when using vendor-provided component databases and extracting printed circuit board (PCB) parasitics.…”

Section: Comparison To Existing Workmentioning

confidence: 99%

A Methodology Improving Off-Chip, Lumped RF Impedance Matching Network Response Accuracy

Vasjanov

Barzdėnas

2018

Electronics

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Impedance matching is concurrent with any radio frequency (RF) circuit design and is essential for maximizing the gain and efficiency while minimizing the noise of high-frequency amplifiers as well as some mixer topologies. The main impedance matching network components are capacitors, inductors, and RF transformers all of which contain parasitic parameters that influence the matching response S11 curve. After calculating matching network component values using classical matching techniques, the measured and simulated response curves differ depending on the target frequency. This results in multiple calculations and measurement cycles in order to precisely match the source and load at the desired frequency. This article proposes an algorithm and methodology of estimating component parasitic parameters and taking them into account when calculating the main component parameters (capacitance and inductance). The proposed algorithm has been implemented as a toolbox in Cadence Virtuoso and verified through simulation and measurements. Measurement results show, that at 500 MHz 10% tolerance components with parasitics included and values based on classical theory provide a 3.2–9.8% offset from the target frequency. In the same conditions, matching networks with compensated (according to the proposed algorithm) values provide 0.1–8.8% target frequency offset. At 1500 MHz 10% components provided 4–12.3% (non-compensated) and 1–8.7% (compensated) target frequency offset ranges. At 3000 MHz. The frequency offset range of using compensated matching network component values is reduced from 5.5–15.1% to 1.3–8.1%.

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Section: Comparison To Existing Workmentioning

confidence: 99%