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...
Сохранить в:
Главные авторы: | Lyakhov, P. A., Ляхов, П. А., Kalita, D. I., Калита, Д. И. |
---|---|
格式: | Статья |
語言: | English |
出版: |
2023
|
主題: | |
在線閱讀: | https://dspace.ncfu.ru/handle/20.500.12258/24074 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Acceleration of Signal Prediction in Wireless Sensor Networks Based on Kalman Filter and Goldschmidt Algorithm
由: Kalita, D. I., и др.
出版: (2023) -
Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions
由: Lyakhov, P. A., и др.
出版: (2022) -
Increasing fast estimation of assessment of navigation parameters for the UAV based on a linear Kalman filter
由: Isaev, M. A., и др.
出版: (2021) -
Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering
由: Kalita, D. I., и др.
出版: (2023) -
Hardware implementation of the kalman filter for video signal processing
由: Lyakhov, P. A., и др.
出版: (2022)