Reliable Kalman Filtering with Conditionally Local Calculations in Wireless Sensor Networks
Wireless sensor networks state assessment is one of the areas of research in digital signal processing. Traditional algorithms include centralized and distributed filtering of data received from sensors. These algorithms iteratively use the information obtained in the course of measurements from all...
Saved in:
Main Authors: | Lyakhov, P. A., Ляхов, П. А., Kalita, D. I., Калита, Д. И. |
---|---|
Format: | Статья |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://dspace.ncfu.ru/handle/20.500.12258/24074 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Acceleration of Signal Prediction in Wireless Sensor Networks Based on Kalman Filter and Goldschmidt Algorithm
by: Kalita, D. I., et al.
Published: (2023) -
Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions
by: Lyakhov, P. A., et al.
Published: (2022) -
Increasing fast estimation of assessment of navigation parameters for the UAV based on a linear Kalman filter
by: Isaev, M. A., et al.
Published: (2021) -
Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering
by: Kalita, D. I., et al.
Published: (2023) -
Hardware implementation of the kalman filter for video signal processing
by: Lyakhov, P. A., et al.
Published: (2022)