Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| 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 | |