Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data
Sensors, 2019 To effectively maintain and analyze a large amount of real-time sensor data, one often uses a filtering technique that reflects characteristics of original data well.
Sebin Park +3 more
doaj +3 more sources
Advancements in Buoy Wave Data Processing through the Application of the Sage–Husa Adaptive Kalman Filtering Algorithm [PDF]
Sensors, 2023 In this paper, we propose a combined filtering method rooted in the application of the Sage–Husa Adaptive Kalman filtering, designed specifically to process wave sensor data.
Sha Jiang, Yonghua Chen, Qingkui Liu
doaj +2 more sources
Kalman filtering to reduce measurement noise of sample entropy: An electroencephalographic study. [PDF]
PLoS ONEIn the analysis of electroencephalography (EEG), entropy can be used to quantify the rate of generation of new information. Entropy has long been known to suffer from variance that arises from its calculation.
Nan Zhang +6 more
doaj +2 more sources
Kalman filtering with intermittent observations
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004 Motivated by navigation and tracking applications within sensor networks, we consider the problem of performing Kalman filtering with intermittent observations. When data travel along unreliable communication channels in a large, wireless, multihop sensor network, the effect of communication delays and loss of information in the control loop cannot be ...
B. Sinopoli +5 more
openaire +3 more sources
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
, 2009 For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Nemra, A.
core +8 more sources
Software-Defined UHF RFID Asset Tracking in Metallic Aircraft Cabins via IMU-Assisted Adaptive Kalman Filtering and Distilled Edge Intelligence [PDF]
Sensors (Basel)Karadag M, Pinarer O.
europepmc +2 more sources
Beat Frequency Estimation in a Square He–Ne Ring Laser Gyroscope: Joint I/Q Channel Calibration and Kalman Filtering [PDF]
Sensors (Basel)Shi Lei +7 more
europepmc +2 more sources
Mixed H2/H∞ filtering for uncertain systems with regional pole assignment [PDF]
, 2005 Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +4 more
core +7 more sources
Systems Science & Control Engineering, 2020 In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.
Zhibin Hu, Jun Hu, Guang Yang
doaj +1 more source
Journal of Research of the National Bureau of Standards, 1985 The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
openaire +3 more sources