2003
DOI: 10.1109/tim.2003.820491
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A feasible noise estimation algorithm for resource-limited sensor systems

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Cited by 7 publications
(5 citation statements)
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“…Some of them are ratiometric measurement [2,21], the modulation/demodulation system [19], combined frequency selection [22], the Decentralized Kalman Filtering (DKF) approach [23], and the frequency hopping approach [6,24]. These kinds of solutions usually require a specific circuit design which includes both analog and digital components.…”
Section: Noise Reduction and Frequency Hoppingmentioning
confidence: 99%
See 1 more Smart Citation
“…Some of them are ratiometric measurement [2,21], the modulation/demodulation system [19], combined frequency selection [22], the Decentralized Kalman Filtering (DKF) approach [23], and the frequency hopping approach [6,24]. These kinds of solutions usually require a specific circuit design which includes both analog and digital components.…”
Section: Noise Reduction and Frequency Hoppingmentioning
confidence: 99%
“…If the standard deviation is performed on this basis, it consumes a large amount of memory, execution time, and power. Sauter and Nachtnebel [24] modified the standard deviation and developed an easy-to-implement algorithm for a simple controller. Watzenig, Steiner, and Zangl [23] proposed the decentralized Kalman filtering technique by reducing computational complexity for one iteration of the Kalman algorithm.…”
Section: Noise Reduction and Frequency Hoppingmentioning
confidence: 99%
“…Therefore, a narrow band disturber may occasionally corrupt measurement data. However, a plausibility check or a noise estimation can be applied to identify outliers (Sauter, 2003). Furthermore, frequency hopping also spreads the emission power over a larger frequency range and may help to comply with EMC regulations.…”
Section: ) Frequency Hopping Spread Spectrummentioning
confidence: 99%
“…Results obtained with this technology show new horizons in the industrial scenery for the development of innovative applications. The paradigm in that emergent industrial reality needs to be inserted in an ambivalent context where more appropriate strategic could opt for preferential investment in sensor technology or in systems associated to data processing [1].…”
Section: Introductionmentioning
confidence: 99%