Systematic Design of Large-Scale Multiport Decoupling Networks

Nie, Ding; Hochwald, Bertrand M.; Stauffer, Erik

doi:10.1109/tcsi.2014.2304666

Cited by 32 publications

(17 citation statements)

References 17 publications

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“…Fig. 4(b) shows a decoupling network for the coupled dipoles at 2.4 GHz designed using Method 4 in [24]. Fig.…”

Section: B Coupled Dipole Antennas-numerical Resultsmentioning

confidence: 99%

“…Hence, the right-hand sides of (25) and (26) are equal. We now apply Lemma 5 to the right-hand sides of (24) and (25). The result is (23).…”

Section: Proofmentioning

confidence: 99%

“…Design methods for different load structures include [16]- [23]. A systematic method for designing decoupling networks for an arbitrary number of the loads is presented in [24]. An example of bandwidth analysis of decoupling networks includes [25].…”

Section: Introductionmentioning

confidence: 99%

“…(b) Matching (decoupling) network for the two dipoles designed using Method 4 in[24], where ports 1 and 2 are connected to the sources, and 3 and 4 are connected through ideal baluns (not shown) to the dipoles. (c) Equivalent circuit of the baluns and coupled dipoles as .…”

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confidence: 99%

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Broadband Matching Bounds for Coupled Loads

Nie

Hochwald

2015

IEEE Trans. Circuits Syst. I

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The Bode-Fano bounds on the integral over all frequency of the logarithm of the reflection coefficient between a source and a load, connected to each other through a passive matching network, are well-known measures of the bandwidth of the matching network and load. When there are multiple coupled loads being driven by multiple independent sources, the notion of a single reflection coefficient is not obvious since energy delivered to one load port may reflect, in part, out another port. Establishing the maximum possible bandwidth of the matching network and loads requires the development of a broadband matching theory that applies to coupled systems. We define a bandwidth measure for coupled loads based on the integral logarithm of their collective power reflection, and develop upper bounds on this measure. These upper bounds can be used to examine the effects of coupling on bandwidth, and to evaluate the broadband performance of matching networks for an arbitrary number of coupled loads.

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“…Fig. 4(b) shows a decoupling network for the coupled dipoles at 2.4 GHz designed using Method 4 in [24]. Fig.…”

Section: B Coupled Dipole Antennas-numerical Resultsmentioning

confidence: 99%

“…Hence, the right-hand sides of (25) and (26) are equal. We now apply Lemma 5 to the right-hand sides of (24) and (25). The result is (23).…”

Section: Proofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Broadband Matching Bounds for Coupled Loads

Nie

Hochwald

2015

IEEE Trans. Circuits Syst. I

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“…II-E. Appropriate lumped element designs for two-port networks include L-, T-and Π-structures; for multiport networks refer to [13].…”

Section: Broadband Evaluationmentioning

confidence: 99%

Magneto-Inductive Powering and Uplink of In-Body Microsensors: Feasibility and High-Density Effects

Dumphart

Bitachon

Wittneben

2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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This paper studies magnetic induction for wireless powering and the data uplink of microsensors, in particular for future medical in-body applications. We consider an external massive coil array as power source (1 W) and data sink. For sensor devices at 12 cm distance from the array, e.g. beneath the human skin, we compute a minimum coil size of 150 µm assuming 50 nW required chip activation power and operation at 750 MHz. A 275 µm coil at the sensor allows for 1 Mbit/s uplink rate. Moreover, we study resonant sensor nodes in dense swarms, a key aspect of envisioned biomedical applications. In particular, we investigate the occurring passive relaying effect and cooperative transmit beamforming in the uplink. We show that the frequency-and location-dependent signal fluctuations in such swarms allow for significant performance gains when utilized with adaptive matching, spectrally-aware signaling and node cooperation. The work is based on a general magnetoinductive MIMO system model, which is introduced first.

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