Name
Title | ||
|---|---|---|
An Integrating Data Mining Algorithm in Mobile Target Vectoring Based on Kalman Filter |
Abstract | ||
|---|---|---|
Kalman filter is introduced into the neuro-fuzzy deducing system (NFDS) operation to attenuate disturbances in measurement data. Both of Lidar and infrared radar data sets will be engaged into data fusion, because there will exist defective data points within both of which owing to the respectively distinct running mechanism. Data confidence estimator of NFDS derived from contextual information (CI) theory; command center (CC) and yaw-pitch-distance information fusion algorithms, within whose running process both radar data sets are filtered and fed into specified system to extract confidence degree of radar sensors. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/JCAI.2009.188 | JCAI |
Keywords | Field | DocType |
radar sensor,measurement data,integrating data mining algorithm,data fusion,radar data set,mobile target,confidence degree,defective data point,contextual information,data confidence estimator,kalman filter,infrared radar data set,neuro-fuzzy deducing system,laser radar,estimation,data models,neuro fuzzy,aircraft vectoring,data mining,infrared,radar tracking,kalman filters,sensor fusion | Radar,Data point,Data mining,Data modeling,Data set,Radar tracker,Computer science,Kalman filter,Sensor fusion,Aircraft vectoring,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liqi Wang | 1 | 23 | 4.72 |
| Mingyi Wang | 2 | 0 | 0.68 |
| Liyong Zhang | 3 | 69 | 13.52 |