| Paper: | SAM-L3.4 | ||
| Session: | Multichannel Signal Processing for Radar and Sonar | ||
| Time: | Friday, May 21, 16:30 - 16:50 | ||
| Presentation: | Lecture | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Source localization, separation, classification, and tracking | ||
| Title: | AN M-ARY KMP CLASSIFIER FOR MULTI-ASPECT TARGET CLASSIFICATION | ||
| Authors: | Xuejun Liao; Duke University | ||
| Hui Li; Duke University | |||
| Balaji Krishnapuram; Duke University | |||
| Abstract: | The kernel matching pursuit (KMP) algorithm is re-formulated in the framework of the theory of optimal experiments, using a weighted sum of squared errors as the loss function, and it is extended to the case of M-ary target classification and kernel optimization. The M-ary KMP classifier is applied to multi-aspect classification of moving targets based on high-range resolution (HRR) radar signatures, for which the target-sensor orientations are assumed approximately known. A multi-aspect processing method is presented based on the use of the estimates of target-sensor orientation angles. The KMP classification results for ten MSTAR targets are presented, with a comparison to corresponding results using the relevance vector machine (RVM). | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops