Optimization of Wireless Sensors Based on Intermodulation Communication

Song, Jinsong; Viikari, Ville; Pesonen, Nadine; Marttila, Ilkka; Seppä, Heikki

doi:10.1109/tmtt.2013.2274052

Cited by 29 publications

(12 citation statements)

References 14 publications

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“…Full integration of the sensor tag can be achieved since there are only passive elements. Finally, the intermodulation principle provides significant long reading distances (tens of meters), yet still being a fast and accurate measurement method [3]. This paper demonstrates the use of the intermodulation communication principle for long range passive wireless inclination or acceleration measurements.…”

Section: Introductionmentioning

confidence: 83%

Long range passive wireless MEMS-based inclination or acceleration sensor utilizing the intermodulation communication principle

Song

Pesonen

Viikari

2014

2014 IEEE International Wireless Symposium (IWS 2014)

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The intermodulation communication principle has recently been developed to wirelessly read out passive sensors' data. The advantages over other passive wireless techniques include significant reading distances and the possibility of using different sensor elements while complying with frequency regulations. In this paper, we describe a MEMS-based passive wireless transponder relying on the intermodulation communication principle and applied to inclinometer or accelerometer measurements. The transponder operates at the UHF band and provides ± 1 g acceleration and ± 90 degrees inclination range within a reading distance of several meters.

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Section: Introductionmentioning

confidence: 83%

Long range passive wireless MEMS-based inclination or acceleration sensor utilizing the intermodulation communication principle

Song

Pesonen

Viikari

2014

2014 IEEE International Wireless Symposium (IWS 2014)

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“…log likelihood L (θ|y) = log e (l (θ|y)) are given by [11] Q (θ|y, 1 In the future, the reader may be developed such that B may be obtained through calibration. and the Fisher Information Matrix J (θ, R) as…”

Section: Parameter Estimationmentioning

confidence: 99%

“…The expression relates a sensor element value, such as the capacitance of a capacitive sensor element, to the measured frequency response. In the previous papers [1]- [3] the sensor value is extracted from the measurements with a simple fitting procedure. This fitting procedure has been found to be computationally heavy, to converge easily in local minima, and not being a maximum-likelihood estimator in a presence of white noise or any other noise that can be justified from physical grounds.…”

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confidence: 99%

Maximum-Likelihood Estimation for Passive Wireless Intermodulation Communication Sensors

et al. 2015

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The intermodulation communication principle has recently shown several advantages over other passive wireless sensor readout techniques. The advantages include a large readout distance and the possibility of using generic sensor elements. In this paper, we derive an algorithm to estimate the quantity measured by the wireless sensor from its intermodulation response and verify the algorithm experimentally with a passive wireless inclinometer sensor operating at 860 MHz. The results can be further used to realize a reader device for intermodulation communication sensors, maximize its operational parameters, and optimize the sensor structure for the best readout resolution.

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“…T RANSPONDERS incorporating nonlinear components are used, e.g., in radiofrequency identification (RFID), harmonic transponders [1], intermodulation sensors [2]- [6] and other passive wireless sensors [7]. The nonlinearity in the transponder is used for rectification, for harmonic generation, and for modulation.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Transponder Antennas Using Intermodulation Response

Hannula

Rasilainen

Viikari

2015

IEEE Trans. Antennas Propagat.

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Abstract-The intermodulation measurement technique enables measuring transponder antennas without any cable connections. This contactless technique exploits the inherent nonlinearity of the transponder to generate intermodulation products that can be measured. In this paper, we relate the transponder antenna properties to the intermodulation response, and use this relation to calculate the gain and impedance matching of the transponder antenna. Additionally, we consider the limitations of the measurement method and present three different measurement geometries for measuring the radiation pattern. The presented equations and methods are experimentally verified by measuring an example harmonic transponder.

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Optimization of Wireless Sensors Based on Intermodulation Communication

Cited by 29 publications

References 14 publications

Long range passive wireless MEMS-based inclination or acceleration sensor utilizing the intermodulation communication principle

Long range passive wireless MEMS-based inclination or acceleration sensor utilizing the intermodulation communication principle

Maximum-Likelihood Estimation for Passive Wireless Intermodulation Communication Sensors

Characterization of Transponder Antennas Using Intermodulation Response

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